Silicon Investor - Ouster (OUST)

[Smart_Asset] Take a look at the short video....Ouster sensors. linkedin.com A worker has ap...

Smart_Asset — 9/3/2026 5:15:18 PM

Take a look at the short video....Ouster sensors.

linkedin.com

A worker has appeared in France who can park your car: a robot named Stanley picks it up from where you left it and takes it to a designated parking spot in a distant lot. The first deployment was deemed a success—now seven such robots are in operation simultaneously, monitoring 2,000 parking spaces.

[Smart_Asset] Apparently Leopold Aschenbrenner had a significant position in Ouster. Those sh...

Smart_Asset — 9/3/2026 12:52:14 PM

Apparently Leopold Aschenbrenner had a significant position in Ouster. Those share were distributed to Citadel when his fund collapsed due to inordinate leverage. Probably the reason for the recent downturn.

..from fintel...

fintel.io

2026-09-01	13F/A	Citadel Advisors Llc		476,586	119.15	29,796	646.02
2026-09-01	13F/A	Citadel Advisors Llc	Put	516,400	46.50	32,285	398.61
2026-09-01	13F/A	Citadel Advisors Llc	Call	779,400	129.78	48,728	682.03

[Smart_Asset] The competition..Hesai... cnevpost.com <
Smart_Asset — 9/2/2026 12:55:17 PM
The competition..Hesai...

cnevpost.com

<<Geely recalls 93,000 vehicles over LiDAR defect that may disable driver assistance>>

[Smart_Asset] U.S. drone surveying SAN FRANCISCO, September 02, 2026--( BUSINESS WIRE)-- Oust...

Smart_Asset — 9/2/2026 12:49:59 PM

U.S. drone surveying

SAN FRANCISCO, September 02, 2026--( BUSINESS WIRE)-- Ouster, Inc. (Nasdaq: OUST) ("Ouster" or the "Company"), a leader in sensing and perception for Physical AI, announced a strategic partnership with GeoCue, a premier provider of drone mapping payloads and software, to integrate Ouster's native color Rev8 OS1 Max digital lidar into GeoCue's TrueView product line. The collaboration pairs GeoCue's TrueView 1 payloads and LP360 software with Ouster's digital lidar to deliver survey-grade data to the utility and infrastructure industries.

GeoCue is expanding its TrueView lineup to include options featuring the Ouster Rev8 OS1 Max, which is Build America, Buy America Act (BABA)-compliant. These new options give customers who have domestic production requirements a high-performance solution without technical compromises.

Ouster and GeoCue selected the Rev8 OS1 Max after joint flight testing and firmware tuning in Huntsville, Alabama. "We are moving America's drone surveying onto American sensing by pairing our TrueView payloads with Ouster's Rev8 OS1 Max," said Frank Darmayan, CEO of GeoCue. "This transition allows us to offer our customers a compliant, high-performance solution that delivers the survey-grade data they depend on for critical infrastructure monitoring and large-scale mapping projects."

The Rev8 OS1 Max brings four key advantages to GeoCue's utility and infrastructure customers:

Superior Precision: A smaller spot size and tighter beam allow TrueView payloads to resolve thin objects such as power lines and structural edges.
Expanded Operational Range: Longer range (200m at 10% reflectivity) clears altitude restrictions around utility corridors, letting operators fly higher while maintaining data quality.
Native Color Integration: The Rev8 OS1 Max captures native color in addition to 3D lidar data, so every point arrives inherently aligned to its color. Alongside the dual cameras in every TrueView payload, that gives LP360 an additional RGB reference for registering camera imagery to the point cloud, enabling tighter sensor fusion.
Density at Speed: 256 channels in 2K and 4K modes keep point density high even at fast flight speeds, supporting long-corridor surveys by propeller and fixed-wing aircraft.

"Our partnership with GeoCue is a testament to how native color digital lidar can serve as the bedrock for physical AI applications that have a profound impact on infrastructure and public safety," said Ouster CEO Angus Pacala. "By integrating our Rev8 OS1 Max sensor,we are providing the survey-grade precision and reliability required to empower the next generation of drone mapping professionals."

GeoCue brings geospatial professionals advanced drone, mobile and terrestrial surveying equipment, point-cloud processing software, workflows, training and support for high-accuracy LiDAR and imagery mapping. With TrueView LiDAR and imaging sensors and LP360 point-cloud processing software, GeoCue provides complete solutions for successful data collection, processing, quality control and deliverable creation. GeoCue meets customers where they are in terms of technology, adoption, budget and resources while supporting their continued growth. To learn more about GeoCue, visit www.geocue.com.
Experience the Rev8 OS1 Max for Drone Surveying at Commercial UAV Expo

Ouster will be showcasing its Rev8 OS1 Max native color digital lidar at Booth #1653 during the Commercial UAV Expo in Las Vegas (September 1-3, 2026). Attendees can stop by the booth for live hardware demonstrations or schedule a meeting with our technical team.

[Smart_Asset] From Ouster's Linkedin page... <
Smart_Asset — 8/25/2026 11:00:35 AM
From Ouster's Linkedin page...

<<Feed post

Ouster

20h • Edited •

Follow

When a point cloud looks wrong, the fastest way to find out why is to look at the other channels. Every Ouster frame is a structured 2D image where each pixel carries range, signal, reflectivity, near-IR, and now native color with Rev8. Low signal across a region points to weak returns, a dirty window, or a low-reflectivity target. Reflectivity tells you material and picks out retroreflective signs and lane markings. Near-IR gives you an ambient, camera-like view with no active illumination at all. RGB is native color.

Open the visualizer with:

ouster-cli source <sensor or file> viz

Then step through each field in the viewer by clicking “m” and read what it is telling you about the scene.

27

[Smart_Asset] General Motors job posting on Linkedin...no idea who the new supplier is but cou...

Smart_Asset — 8/25/2026 10:44:01 AM

General Motors job posting on Linkedin...no idea who the new supplier is but could be......??

<<

linkedin.com/jobs/view/4335... "We are looking for an expert Sr Design Release Engineer - Lidar to join our team and help us build the best automated vehicles in the world. Lead the development testing of a new Lidar supplier to meet the future needs of next generation automated driving program. Responsible for resolving technical challenges while meeting cost targets." Bullish

Nov 21, 2025 4:51 AM>>

From Gemini...question"What is the cost of Ouster's Rev8 and at volume orders"

<<AI Overview

Ouster has not publicly disclosed exact retail or volume pricing for its Rev8 sensor family, listing costs as "price upon request" across official sales channels and authorized distributors.

Pricing and Availability Details

Public Pricing: Ouster withholds standard retail price sheets for the

Rev8

lineup, requiring enterprise buyers and developers to submit direct quote requests.

Volume Expectations: While exact bulk or tier-based discounts are private, Ouster stresses that

Rev8

is engineered specifically for low-cost, high-volume production.
Morningstar

Manufacturing Scale: The company expanded manufacturing partnerships with Benchmark Electronics to support production exceeding 100,000 units per year, aimed at dropping per-unit costs for mass-market commercial rollouts.
Morningstar

What is the

Rev8

?

Native Color Lidar: Released in May 2026, the Rev8 series integrates custom L4 silicon to fuse 3D depth data with native color imaging at the hardware level.

Lineup: Includes models like the long-range OS1 Max, mid-range OS1, ultra-wide OS0, and hemispherical OSDome.

To get specific per-unit or volume pricing for your application, you can contact the sales team directly through the Ouste

[Smart_Asset] With all the Flock flak I'm seeing a real opportunity for Blue City and guessing...

Smart_Asset — 8/21/2026 3:23:36 PM

With all the Flock flak I'm seeing a real opportunity for Blue City and guessing Ouster management sees it as well.

At the link some Blue City video taken at night without needed lighting which Flock requires and which keeps anonymity for the autos/drivers.

linkedin.com

An early morning commute with low light and a busy downtown rush hour requires the most advanced detection for traffic and road user safety.

Using just two compact Ouster sensors on average per intersection, and installed in as little as three hours, Ouster BlueCity generates a high-fidelity 3D (and optional native color) digital traffic twin.

The example recording captures a 6 AM near-miss incident with data that includes timestamped speed, location, classifications, and lead and following movements alongside 2D and 3D recordings. Multimodal critical and unsafe conflicts are calculated using post-encroachment time (PET).

The solution has been designed to help achieve safety and optimization goals through a continuous stream of analytics, and real-time alerts and traffic signal actuation. What's more, the system can power the more complex safety measures in response to intersection safety risks. This includes:

- Crosswalk clearance extensions for slower-moving vulnerable road users
- Dynamic flashing yellow arrow and no-right-turn-on-red based on pedestrian presence
- Dilemma zone protection to extend red lights based on detection of high-speed vehicles

Learn more about near-miss detection and PET: https://lnkd.in/gVScAuTJ

[Smart_Asset] Institutional ownership now 63.20% up 31.37% since last quarter with the number ...

Smart_Asset — 8/19/2026 9:12:42 PM

Institutional ownership now 63.20% up 31.37% since last quarter with the number of owners up 124.14%.

fintel.io

Basic Stats

Institutional Owners	520 total, 513 long only, 0 short only, 7 long/short - change of 124.14% MRQ
Average Portfolio Allocation	0.0966 % - change of 20.28% MRQ
Shares Outstanding	shares (source: Capital IQ)

Institutional Shares (Long)	44,851,634 - 62.20% (ex 13D/G) - change of 10.71MM shares 31.37% MRQ
Institutional Value (Long)	$ 2,313,496 USD ($1000)

[Smart_Asset] Amazon will expand its drone service. The Amazon MK30 drone utilizes LiDAR sens...

Smart_Asset — 8/19/2026 10:00:13 AM

Amazon will expand its drone service. The Amazon MK30 drone utilizes LiDAR sensors according to Gemini. The sensors in the photo don't look like Ouster but Ouster has provided the sensors for the Proteus warehouse tuggers so there's that.

kiro7.com

<<By KIRO 7 News Staff
August 19, 2026 at 5:12 am PDT

+Caption

Amazon says it plans to expand its Prime Air drone delivery service to nearly 500 cities and towns across the U.S. by the end of 2026, increasing its reach sixfold.

The company says the service will bring 30-minute delivery options to tens of millions of customers and offer millions of eligible products, including groceries, electronics, medications, cosmetics and household items.

Prime Air currently operates in parts of Arizona, Florida, Kansas, Louisiana, Michigan, Nebraska and Texas. Amazon says it plans to launch service in additional metro areas, including Chicago, Atlanta, Cleveland, Syracuse and Boise.>>

..more Gemini..

<<AI Overview

There is no official or confirmed public evidence that Amazon Prime Air uses Ouster LiDAR sensors on its delivery drones. While financial market rumors or speculation have occasionally linked announcements between the two companies, Amazon relies on custom-built proprietary hardware and a mix of unspecified or alternative sensor suppliers (such as vision-based systems and general LiDAR integrations) for its MK30 delivery fleet.
Amazon Web Services (AWS) +3

Proprietary Systems: Amazon highlights its own custom Detect-and-Avoid architecture rather than naming specific commercial sensor brands like Ouster.
StartupHub.ai +1

General Technology Use: Industry analysis notes that delivery drones utilize standard sensor supply chains incorporating various vision, ultrasonic, and LiDAR components, but exact specifications remain confidential.
Supply Chain Brain +2

Amazon.com

Prime Air Drone Delivery - Amazon.com
Our drones feature detect-and-avoid technology to navigate, sense and avoid obstacles, deliver packages, and, if conditions requir...
StartupHub.ai

Amazon Prime Air Expands to 500 Cities by 2026
Aug 19, 2026 — Safety and Technology Underpinning Expansion. Central to this expansion is Amazon's proprietary Detect-and-Avoid system. This tech...

[Smart_Asset] Tesla robotaxi runs through bollards. electrek.co

Smart_Asset — 8/18/2026 7:24:04 PM

[Smart_Asset] I'll be glad when the data center meme goes quiet. The next one could well be h...

Smart_Asset — 8/17/2026 11:25:32 AM

I'll be glad when the data center meme goes quiet. The next one could well be humanoid robots. Sci Fi come true.

thenextweb.com

<<Unitree Robotics, the Hangzhou company that has done more than anyone else to turn Chinese humanoid robots into a spectator sport, is due to begin trading on Shanghai’s STAR Market on 19 August, according to Reuters.>>

[Smart_Asset] PRESS RELEASE ARGUS Interception and Ouster Announce Strategic Agreement to Str...

Smart_Asset — 8/14/2026 2:40:01 PM

PRESS RELEASE

ARGUS Interception and Ouster Announce Strategic Agreement to Strengthen the Precision

and Reliability of Counter-UAS Systems with Digital Lidar

ARGUS to equip its A1-Falke® net-based interceptors with Ouster digital lidar

SAN FRANCISCO, CA and ROTENBURG, DE – [Tuesday, June 23, 2026 at 6:00 AM ET / 12:00 PM

Germany]

Ouster, Inc. (Nasdaq: OUST) (“Ouster” or the “Company”), a leader in sensing and perception for

Physical AI, and ARGUS Interception GmbH, a pioneer in net-based counter-UAS interception

systems, announced today a strategic agreement under which ARGUS Interception will equip its A1-

Falke® net-based interceptors with Ouster digital lidar.

This collaboration combines the high-precision, short-range 3D detection capabilities of Ouster

digital lidar with ARGUS Interception’s controlled, net-based drone capture capabilities. By

installing Ouster lidar, ARGUS aims to enhance the effectiveness of responsible, non-kinetic counter-

UAS operations and offer a minimally invasive response option for complex environments where

traditional kinetic measures are unviable.

The A1-Falke® from ARGUS Interception is designed to capture, recover, and secure

uncooperative drones. Built around an interception drone featuring two integrated net launchers, the

system utilizes a multi-sensor suite of radar, lidar, and depth-sensing cameras. The system monitors

the defined airspace, detects invasive drones, intercepts them in an automated and controlled

manner via patented net launcher technology, and brings them to the ground intact, enabling forensic

evaluation and preservation of evidence.

Under the strategic agreement, Ouster will supply its digital lidar for integration directly into the A1-

Falke® to optimize the precision and reliability of the net-based intercept process, especially in the

decisive near-range phase. The integration strengthens the operational chain from initial target

acquisition to controlled interception and capture, particularly in complex, safety-sensitive

environments and when protecting critical infrastructure and public spaces. Designed for modular

deployment, the A1-Falke® system's components can be operated in an integrated or standalone

configuration depending on the operational concept.

“Responsible counter-UAS measures depend on reliable sensors and controllable procedures,” said

Dennis Rauscher, co-founder and CEO of ARGUS Interception GmbH. “With Ouster, we are

integrating lidar technology that further strengthens the precision and reliability of our net-based

interception capability, supporting our customers’ operational effectiveness in safety-critical

environments.”

As part of the collaboration, ARGUS will explore next-generation interception capabilities with

Ouster’s new Rev8 digital lidar, such as 3D native color sensing and longer-range detection for

high-speed applications to bring human-like sight and unmatched situational awareness to automated

counter-UAS.

"As rogue drones present increasingly sophisticated threats to critical infrastructure and public safety,

precise situational awareness at close range is paramount," said Cyrille Jacquemet, Chief Revenue

Officer of Ouster. "By supplying our digital lidar for integration into the A1-Falke®, we are providing

the high-resolution, low-latency 3D perception required for advanced counter-UAS operations. We

Argus Interception GmbH | Company Headquarters: Zum Flugplatz 68, 27356 Rotenburg (Wümme), Germany

District Court Walsrode, HRB 213046 | VAT No. DE363162635 | Managing Directors: Sven Steingräber, Christoph Rau, Dennis Rauscherlook forward to our ongoing relationship with ARGUS as they leverage our digital lidar platform and

explore the next-generation capabilities of our new Rev8 family to advance non-kinetic defense."

About ARGUS Interception

ARGUS Interception GmbH is a leading German technology company and a pioneer in net-based,

minimally invasive counter-UAS interception systems for the controlled capture and recovery of

uncooperative drones. Founded in 2023 by former German Armed Forces officers, the company

develops and manufactures security-relevant advanced technology in Germany for armed forces,

public authorities, and operators of critical infrastructure. ARGUS Interception’s A1-Falke® net-based

interceptor enables responsible, controlled counter-UAS measures through patented, operationally

proven net-capture technology, proprietary software, and advanced sensor technology – particularly

in environments where kinetic options are not acceptable – while minimizing secondary effects. The

non-destructive securing of uncooperative drones can also provide the basis for forensic analysis to

assess technical origin and operational context. ARGUS Interception enables governmental and

institutional actors, as well as critical infrastructure operators, to remain operationally capable and to

strengthen public safety and operational sovereignty.

About Ouster

Ouster (Nasdaq: OUST) is a leader in sensing and perception for Physical AI across industrial,

robotics, automotive, and smart infrastructure. With a unified platform of high-performance digital

lidar, cameras, AI compute, sensor fusion and perception software, and AI models, Ouster delivers

solutions that improve quality of life in the physical world. Headquartered in San Francisco, CA,

Ouster has a global presence serving thousands of customers with offices in the Americas, Europe,

and Asia-Pacific. For more information about our products, visit www.ouster.com, contact our sales

team, or connect with us on X or LinkedIn.

Forward-Looking Statements

This press release contains forward-looking statements within the meaning of the Private Securities

Litigation Reform Act of 1995. The Company intends such forward-looking statements to be covered

by the safe harbor provisions for forward-looking statements contained in Section 27A of the

Securities Act of 1933, as amended and Section 21E of the Securities Exchange Act of 1934, as

amended. Such statements are based upon current plans, estimates and expectations of

management that are subject to various risks and uncertainties that could cause actual results to

differ materially from such statements. The inclusion of forward-looking statements should not be

regarded as a representation that such plans, estimates and expectations will be achieved. Words

such as “offer,” “expect,” “will”, “may,” “anticipate,” “intend,” “reflect,” “should,” “plan,” “can,” “could,”

“estimate,” “possible,” “potential,” “pursue,” “demonstrate,” and the negative of these terms and similar

expressions are intended to identify forward-looking statements, though not all forward-looking

statements use these words or expressions. All statements, other than historical facts, including

statements regarding the capabilities and benefits of Ouster’s digital lidar, including with respect to

detection capabilities, benefits to and expectations around customer adoption and application of our

products, the timing and shipment of our products, and Ouster’s business objectives and plans

constitute forward-looking statements. All forward-looking statements are subject to risks and

uncertainties that may cause actual results to differ materially from those that we expected, including,

but not limited to, the possibility of cancellation or postponement of contracts or unsuccessful

implementations; risks related to the adoption of Ouster’s products, product quality and liability risks;

the Company’s dependence on key third party suppliers, in particular, Benchmark Electronics, Inc.,

Fabrinet and other suppliers; Ouster’s ability to respond to evolving regulations and standards; and

other important risk factors discussed in the Company’s Annual Report on Form 10-K for the year

ended December 31, 2025, and as may be further updated from time to time in the Company’s in the

Company’s Quarterly Reports on Form 10-Q and other filings with the SEC. Readers are urged to

Argus Interception GmbH | Company Headquarters: Zum Flugplatz 68, 27356 Rotenburg (Wümme), Germany

District Court Walsrode, HRB 213046 | VAT No. DE363162635 | Managing

[Smart_Asset] Typical deception.... teslarati.com

Smart_Asset — 8/13/2026 2:30:18 PM

[Smart_Asset] Truly informative interview with Angus and Ken at the Oppenheimer conference. ...

Smart_Asset — 8/12/2026 12:50:07 PM

Truly informative interview with Angus and Ken at the Oppenheimer conference. The optimism is baked into the responses from both.

m.investing.com

Full transcript - Oppenheimer 29th Annual Technology, Internet & Communications Conference:Moderator: Hi, everyone. This is Colin Rusch. I lead the Industrial Innovation Research practice here at Oppenheimer. We’re thrilled to have the Ouster team with us today, Ken Gianella, the CFO, and Chen Geng, the SVP of Strategic Finance and Treasurer at Ouster, and longtime veteran of the company. We may have Angus be able to join us here as well, the CEO. To get started, guys, can we talk about the fact that you’ve got 14 consecutive quarters of revenue growth and you’re sitting at a $55 million plus or minus run rate. As you bring Rev8 into the mix, how are you thinking about the impact to revenue and that product transition from REV7 to Rev8, and how that’s going to start translating through the P&L?

Ken Gianella, CFO, Ouster: Thank you, Colin, and thanks again for hosting us at the event today. It’s been a great day. Q2 was really our first full quarter as a unified platform with the launch of Rev8, and we also announced the launch of Stereolabs ZED X Nano. It’s a camera specifically for the robotics industry. Really pleased with how the quarter performed. When you look ex royalties product-wise, we outperformed in Q2 than we initially anticipated, and our product revenue quarter-over-quarter for Q3 will be sequentially higher in Q3. Rev8, been very electric, the reception that it’s gotten, multimillion-dollar orders already booked. Some from new, some from existing customers. A lot of brand new use cases that it opens up. The bookings, we’ve been really pleased with that. Rev8 is still in the early stages of its volume production ramps.

We said on the call that we’re looking for that to ramp, really getting to scale in the September timeframe as we go through Q3, and then carrying that on to Q4 into the out years. We expect Rev8 to become the core of our sensing platform for the business over the next several years. As product transitions go, this one’s probably the longest tail that the company’s had in its history. REV7 was a real workhorse for us. It’s built into a lot of existing company production platforms already. So we expect that one to have a long tail and be part of our product suite for a while to come. The key for us looking ahead, though, it’s really about continuing to grow the full product suite, continuing to grow the platform, Rev8 being a piece, big part of that.

What you’re going to start seeing as that growth and potential inflection is that platform play of bringing in compute in the software for the individual applications over the next few years.

Moderator: It raises a good point around the early stages of growth that you guys are in and the individual verticals that are seeing real adoption. The industrial vertical was the biggest contributor this last quarter, was smart infrastructure. How should we think about the durability, repeatability, and kind of mix shift from vertical to vertical as we go forward, and thinking about repeat orders and the consistency of margins as you see slightly different dynamics in each of those verticals?

Ken Gianella, CFO, Ouster: Right. Well, I think the one thing we’ve always talked about is the adoption and cadence is very similar across almost every vertical. You start with a prototype, you move to pilot, you lock into design win, then you scale to production. Once you land and you win that production, you’re really expanding and building new use cases at a customer. We have several customers that we’ve been able to demonstrate that with, even within the early days. I think the largest thing for us, and just focusing on smart infrastructure for a second, is having that end-to-end play. Being able to be no code turnkey solution, think easy button, for these customers is what we’re seeing start to emerge, especially within the DOT areas.

For the industrial side, though, it’s really about how can you get product to market that’s durable and repeatable for the customer in a high quality. The ruggedness that you need within these environments, especially in the outdoor environments, that’s what really sets Ouster apart from the competitors. I’m not going to make you pick which one we love the best, but if you think about these deployment schedules, you really got to love the industrial side, because once they get into that logistical production mode, it really takes off and it smooths out a lot of the lumpiness.

Moderator: You cited multiple multimillion-dollar orders, right? I think I would love to understand the significance of that. Certainly, we’ve seen a lot of demonstration of the technology integrated into large capital equipment, top AV providers, as well as some of the DOT applications. But the history of LIDAR, in some cases, has been around sampling and smaller order sizes and prototypes. Moving into these larger awards signals something different. I just want to understand that from your perspective and what that means for maturity of the physical AI space and where you sit in that ecosystem.

Ken Gianella, CFO, Ouster: Well, where we sit in the ecosystem has significantly changed with the acquisition of Stereolabs and bringing the compute piece to it. So we’ve moved from a single point provider to expanding to a platform player within physical AI for sensing and perception. So being able to come to these companies and provide them not only just a point LIDAR solution, but be able to offer the compute, the software, and a camera. We’re already seeing early indications of that really driving us, Colin. As you start looking forward with this, the LIDAR business is really going to be a big driver of their technology needs because the Rev8 brings such a unique component to it that people are starting to build into their platforms.

And where before you had a LIDAR that was great and had the right resolution, bringing revolutionary, speaking of perfect timing for you, Angus, speaking of the revolutionary Rev8 and the RGB that brings to the table. We’re seeing these industrial customers call in, want to sign on now because they want to build that as part of their core platform to get that fusion right on the chip. Anything you want to add about the Rev8 launch, Angus, and how that does for industrial

Moderator: Angus, before you get started, let me refine the question a little bit. We were just talking about the significance of the larger orders that you guys are receiving. As you get into answering, kind of the significance of that for the physical AI ecosystem, the ecosystem here, just want to understand a little bit more about why that’s so important for folks, right, from a product differentiation, and what that enables from a system level. If you could address both those.

Angus Pacala, CEO, Ouster: Yeah, absolutely. So it’s important context to remember that we’ve been shipping a highly competitive REV7 product line for the last three years. We are largely regarded as having some of the best lidar sensors, if not in many cases for different use cases, the best lidar sensors on the market with REV7 for the past three years. That’s why we’ve built such a suite of high-end customers for our history. Rev8 is taking something that’s already really a leadership position and making it, I would say, obvious that there’s no other choice by bringing even more performance capability and now RGB into the mix. If you’ve ever done sales, and I do a lot of sales and talking to customers, there’s a big difference between a competitive sale and an obvious sale.

When customers are just asking, they are not even debating or comparing against a competitor. REV7, you compare against a competitor, you think about it, you choose the REV7 because it has superior specs. Rev8, it has native color, it is functionally safe. We have long-range, hyper-capable OS1 Max versions. It is an obvious choice that does not have a comparison at all in the market, and that makes the sale even that much more faster, that much easier for us, and that much more confident on the customer to actually just place that order up front. We have seen a series of long-term REV7 customers immediately turn around. They have confidence in Ouster, they see Rev8, and they have signed on board with major multimillion-dollar orders. Just this morning, the Utah DOT is such a great example of this, turned around 160 intersections with OS1 Max Rev8 sensors on them.

This is a brand-new product, brand-new hardware, brand-new software. It is not normal for traffic engineers to deploy this kind of technology at scale when it is this new. They have the confidence because it is built on the Ouster brand, the REV7 reputation, and it has got such obvious benefits with this native color and long-range capability. That is just one example of a use case with what I would call a conservative kind of customer, not a customer that wants to take any chances on quality and capability, reliability, and yet they have the confidence in Ouster. That is playing out across all of our industrial customers, all our smart infrastructure customers. They are seeing Rev8. They know it has got the capability and the quality that Ouster has become known for, and then they see native color performance, and it just becomes an obvious decision to adopt.

Moderator: I would love to just follow up on that RGB discussion. Why is that so hard? How long has it been in the works for you guys? I think that is something that takes some explaining for folks newer to the story, but it is a very, very big deal, and it is very, very hard from what we understand. We would love to get your perspective on why it is so hard, what is involved, and what that enables for you from a leadership and a ML perspective.

Angus Pacala, CEO, Ouster: Yeah, for sure. First, the concept or the definition, what is this native color technology in the first place? Native color lidar is lidar data that has RGB or color information at every point. The reality is, you and I do not perceive the world in just 3D. We also do not perceive the world in just color, 2D, camera-like imagery. We actually combine depth sensing and color to describe the state of the physical world. You need both channels. That is why historically, if you are a REV7 customer of Ouster, almost assuredly, you are buying a color camera in the last three years to pair with a REV7 lidar because you need both. You need to know that the blinkers are running on the car in front of you and the brake lights have fired and the stop light is green, not red.

You get where all those things are with lidar, and you know you don’t want to run into them, but you still don’t know the state of a lot of those objects without color information. Our customers are already convinced of this fact, and they’ve been buying REV7 lidars with color cameras. Turns out that’s not an ideal way to build most systems. The calibration, the synchronization, the capability of today’s cameras just isn’t quite it’s not at where it needs to be for you to have hyper safe, low latency, and incredible performance on the perception capability of these devices. It’s much better if you could make one device that did all of it internally at a very, very deep architectural level that provided guarantees on the quality of the paired output of the depth and the 3D and the color. That’s what Rev8 does.

It’s hard because to do it right, you have to do it at the lowest level possible, which is at silicon chip level. The Rev8 has a L4 architecture silicon chip in it that has color and depth sensing combined for the very first time onto a single chip, all using the same optics, shared optics in front of this silicon chip that’s doing nanosecond-level timing, synchronization, and calibration of these traditionally two different data streams. It’s really powerful. When you see it’s obvious. This is a black and white TV to color TV transition. You’re never going to go back from operating a color lidar once you’ve started using it. It’s a really big deal, and Ouster’s been investing years on it, and now we have this competitive edge because we’re the only company in the market actually doing it.

Moderator: What do you think that does from a time perspective for you guys to go on sale? If we’re making it an obvious sale, how long do you think it takes before someone comes along with something that can present itself as even in the same bucket of performance?

Angus Pacala, CEO, Ouster: Well, what’s interesting is there have been companies that have said that they’re doing colorized lidar in various forms over the last couple of years, and they’ve kind of been these non-events. I was just at CES in January, actually, and there was a lidar company saying they had an RGB lidar, and no one cared. The reason no one cared, customers didn’t care, is because it was an afterthought. It was a poorly implemented, non-functional or non-useful kind of cobbled-together system, not something that was engineered at the silicon level. I expect there to be a lot of that kind of thing that happens for the next couple of years as companies try to market the idea of color lidar, but they won’t derive the benefits of it because customers are smart. I say you never trick a customer into buying a lidar sensor.

All customers are going to test before they buy. You can’t kind of fake this color capability. I think we have multiple years, 2 to 5 years of head start, depending on which type of product and which environment we’re using it in. A head start because of the silicon lead times associated with doing this correctly. In the meantime, there will be all kinds of press releases with companies claiming they’ve done it, and it will be irrelevant because it’ll be kind of a demo prototype system that customers can’t actually field at scale.

Moderator: Just shifting to the sensor fusion and software piece of this, right? That’s something you guys have talked about. You’ve made some acquisitions that are related to some of the software, but sensor fusion has been historically a critical part of performance for these systems. Obviously with more information native to the sensor, you can redesign some of that sensor fusion in the computer. Can you talk a little bit about what you’ve done from an investment perspective around software sensor fusion, and what that means for system simplicity and performance?

Angus Pacala, CEO, Ouster: Yeah. Sensor fusion is a really nitty-gritty problem that every single customer has to solve. It involves timing synchronization and understanding where different sensors are pointed and getting all of that data into one reference frame that a machine learning algorithm can parse in a GPU. You have to take all that data from many different sensors, bucket it up properly, and give it to machine learning, and the quality of the machine learning output is directly related to how well you do all that fusing of data up front. That’s why native color just gets to sidestep some of that, when we’re talking about color camera versus lidar. But it also pertains to when you have multiple lidar sensors or maybe lidar sensors and stereo cameras, or monocular cameras, stereo cameras, lidars, and inertial measurement units.

There’s a broader ecosystem of sensors that all have to be calibrated, synchronized, and fused before you apply algorithms to them. I think this is a place that Ouster can provide huge value by building that software layer for customers and providing it as part of our SDK and software ecosystem. Providing the "it just works" platform of sensor perception and development that no other company has ever tackled. We’ve done this in a couple of ways, but the big one is that we acquired a company, Stereolabs, just at the beginning of this year, which is a leading provider of stereo cameras. So that’s colorized point clouds from stereo cameras and monocular cameras that we can pair with our colorized Rev8 point clouds.

Stereolabs has also invested in this SDK, the ZED SDK, that has over 10,000 users, something they’ve built over the last decade and a half. What it does is it fuses the disparate data streams from all these different sensors into one coherent stream that they can then pass to machine learning algorithms. So we have 10,000 customers currently using the ZED SDK. It’s doing this really difficult technical challenge that every customer needs to solve, and now we’re just investing more and more. We’re getting Rev8 onto the platform. We’re building it out to be more robust and rigorous for production environments. Because I want the heavy equipment manufacturers of the world that are going to put 10,000 construction machines out into the world that have to last for 10 years, I want them running our software and our sensors.

This is the start of that autonomy platform play, which is a major investment for us for the next decade.

Moderator: Excellent. Just continuing on that, you guys have deepened the NVIDIA partnership, bringing Rev8 to DRIVE and Jetson and dedicated toolkits and drivers for Orin and Thor. How does that reference design position and the brand compatibility with NVIDIA translate into the sales process and adoption rates for the Ouster platform?

Angus Pacala, CEO, Ouster: Yeah. The partnership with NVIDIA has been great. We’ve really expanded our work. Rev8 did a couple things that immediately put us as a key partner for NVIDIA. The first is just ASIL B automotive safety standards and just safety qualifications. So we’re an automotive Rev8 product line now, and so the NVIDIA DRIVE group is very interested in that aspect because they want automotive qualified sensors. In the robotics space, we now have all the monocular and stereo and cameras along with the Rev8 lidar cameras. So we have the full suite of robotic vision sensors that we can deploy into the NVIDIA robotics ecosystem, JetPack and NVIDIA Isaac. Then there’s some other stuff that we can do in the future with smart infrastructure and things like that.

We are a great partner because we have all of these sensors, they all work well together, and we are making the investment to make sure that they work in the NVIDIA ecosystems like DRIVE and JetPack. In some ways it is a similar play to what we are doing internally with our own SDKs to make everything interoperable and a great ecosystem. Some customers are going to want to work in an NVIDIA ecosystem, some customers are going to want to work in an Ouster ecosystem when it comes to software. Under the hood, it is still Ouster sensors, and it is still NVIDIA chips, whether it is our software platform or an NVIDIA DRIVE platform or an NVIDIA JetPack platform. Everyone is kind of winning no matter what. We are just providing a couple different ways to interface through software, whether it is an Ouster software SDK or an NVIDIA software SDK.

That is part of the broader ecosystem play here. We want customers to have a lot of different options to go build this high-quality software. We are still under the hood, the key enabling technology and the hardware and the low-level work that has been put in on the software side on both ecosystems.

Moderator: That is super helpful. Ken, how are you guys translating that into evidence of pricing margins, durability of cash flow? How are you thinking about that? Maybe this is for both of you guys, but I will put you on the spot, Ken, and give Angus a minute to catch his breath. That is the real heart of this, right? Is the business model that you guys have built and the operating leverage plus the flywheel of amplifying sales here. How are you thinking about that mode evolving from here and translating into margin?

Ken Gianella, CFO, Ouster: Well, I think it is three steps. Number 1 is continuing this rotation into a platform, having the ability to offer customers both the LIDAR, the camera, the compute, and the software to it. That becomes very sticky and becomes value add versus just selling an individual component. Continuing that rotation to bring solutions to the marketplace that can help, it is like we do with BlueCity with a no-code turnkey ITS solution is a perfect example of how we are going to continue to innovate and grow this platform out. I think the second piece is continuing to be diverse in our product portfolio and finding ways that we can continue to go across our verticals with the products and offerings that we have.

Not being niche or specific to a specific use case like ADAS or consumer ADAS has really benefited the company in not being price pointed down or being pressured into a point where you have to lower your standards in order to win business. Having a portfolio that can go across all these different use cases has really been invaluable to helping bolster that overall ASP and the value that people can see from our platform. Those two things really are the major drivers that we see in the long term. The last but not least is innovation. What Angus didn’t say is with the new L4 chip that we released, we have programs and roadmaps we’re working on today for next generation innovation.

Continuing that investment into innovation, continuing to broaden our portfolio, not just from new chips, but also from form factors that can fit into different use cases using the same base technology. That’s something you’re going to see us invest in over the next 12 to 24 months. It’s going to keep that ASP and that margin at a good level.

Moderator: Excellent. Just shifting gears a little bit into the supply chain. Obviously, you guys have been qualified for the Blue UAS, and there’s a lot of Buy America activity right now, the tariff dynamics. Can you talk a little bit about how you’re seeing the supply chain evolve as you start to scale up a little bit more actively and start to see some of these other elements impact the sales process and as well as just component availability and pricing?

Ken Gianella, CFO, Ouster: Well, I can start with that, Angus. I think number one is having the ability to buy ahead on long lead time parts. The good thing about having visibility in a backlog with your partners is you know what they’re looking for, what quantities they’re at. So, we’ve been able to go out into the marketplace and secure enough components to give us visibility, sometimes 18 to 24 months into the future, to make sure that we have that inventory on-hand. You might have seen, if you look at our balance sheet, it’s ticking up a little bit, and that’s predominantly because of two reasons. One, we’re going to continue to invest more in the supply chain. We want to be a provider that can do quick turns with folks, particularly within the Stereolabs business.

You are going to continue to see us invest more in that finished good inventory to be able to supply and meet the market demand pretty quickly. Continuing to invest in the supply chain and the capacity at our CMs is something that we are going to focus on here over the next 12 months.

Moderator: Angus, would you talk anything that you would supplement around that? Then obviously

Angus Pacala, CEO, Ouster: Yeah. Maybe around the strategic aspects with customers, I think is part of the question you are asking is things like Blue UAS, which is a certification around the source of our supply chain components, purely a domestic source or Western partners for sourcing strategic technologies like lidar. There has been a lot of effort to make us a preferred partner for companies that need a secured supply chain of this, of lidar. It has been years of effort. We have divested from a Chinese supply chain as one example, which is no small feat, and it is why we are able to get a certification like a Blue UAS certification. These are not just window dressing. This is real effort, and getting the certification was a huge lift. It is just one that we have been investing in for years at this point.

There is definitely, when I go into customer conversations now, it is one of the first questions that gets asked is, "Where are you buying your parts? Where are your major suppliers? Where are you manufacturing the product? How can I guarantee that I am going to maintain a supply of this product, and you do not have undue risk in your supply chain?" Part of it is about geopolitics, and part of it is about just things like semiconductor crunch and continuity of supply and things like that. We have a world-class operations team and supply chain team that has built very deep partnerships with our critical single-source suppliers. It is just not something you build overnight. We have been working on this for years, and I think we are way ahead of kind of the average technology company when it comes to this.

Moderator: Excellent. Speaking of de-risking, you guys have raised a lot of money in the last 12 months, right? You put yourself in a fantastic position from a balance sheet perspective and all. You kind of stayed disciplined on your spending. You got kind of single digit, low single digit millions of EBITDA losses per quarter, over $450 million of cash after this last transaction. Talk to me about what that does for you from a customer perspective and a planning perspective for the organization as you think about trying to become the, well, really being the dominant lidar player in North America and Europe on a go-forward basis.

Angus Pacala, CEO, Ouster: Yeah, I mean, the first thing is we got to this point because we were good stewards of cash, and we’re going to continue to be good stewards of cash, despite having $450 million plus on the balance sheet. It is a critical. It’s a selling point. When I’m in customer conversations, a lot of times now these are C-suite level conversations because lidar has become a critical technology for the future of autonomy platforms kind of the world over, and there aren’t that many places to buy lidar. Ouster is one of very few companies that a lot of companies are able to source from. So they want to know that we have a long history ahead of us. This completely removes, these raises that we did completely remove any kind of financial funding risk from Ouster.

We said on the earnings call, we see this as we have a fully funded business model. Regardless of kind of what happens or what directions and investments we make in the future, we’re fully funded. So that resonates internally, it resonates with investors, and it resonates with customers. It’s definitely a strategic selling aspect of what we’ve done here.

Moderator: As you guys look at the landscape, the physical AI space is evolving pretty quickly, where are the biggest risks that you guys are thinking about right now? Where’s the most rapid evolution that you’re going to have to respond to? I think as folks start to digest the impact of AI and on some of the design cycles, there is some improvement and some kind of just fluff about what’s happening here. So there’s, I think, a lot of BS, and then there’s some real things that are happening. So curious how you guys are thinking about technology risk and market risk on a go-forward basis, and how Ouster is getting ready for that.

Angus Pacala, CEO, Ouster: We diversified fundamentally because it reduced risk, diversified commercially into our four markets, automotive, industrial, smart infrastructure, and robotics, because it reduces risk. A lot of the risk is technology risk associated with a particular type of customer scaling an emerging technology. When we founded Ouster in 2015, the emerging technology that had risk was robotaxis. We were smart to diversify into many different verticals. We still sell into robotaxis, and today we have a great business in our robotaxi, robot trucking customers. But man, was it a longer timeline to scale than most people predicted in 2015. Other than, we were one of the few that kind of had a realistic view on this. That is not to say that there was not a lot of revenue generated along the way for things like lidar sensors into robotaxi companies.

I take that same viewpoint to the current scaling of robotics. Obviously, everything that is happening with advanced robotics is real, is here to stay. There are going to be humanoid robots doing productive work in our society, guaranteed, and they already are in some cases. But we have purposefully diversified to the point that we do not know the exact trajectory of that scale up a few months. It is very frothy right now, and people are deploying a lot of that type of robot, or building a lot. We are selling a lot of cameras and a lot of lidars into those applications. That is great revenue, but it is also not the only revenue that we generate. We are diversified because no one can predict the way that this set of physical AI robotics is going to progress, in kind of fine-grained detail.

All I can say is that I know that it is growing very significantly, and Ouster is a core part of it.

Moderator: Now we are coming to the end here, and we have spent a lot of time on technology, which I kind of enjoy, as much as some of the finance pieces. But, as we think about a robotic future, right, and the interaction of robots in human environments and human-machine interaction, you guys ruled out, even though there is a lot of attention around RGB elements of the lidar, the functional safety piece of the lidar is a big deal, right, in terms of where risk sits at the product level and who takes this on. The way you guys explained it to me was just like, it is like automatic braking, right, and that sort of functionality.

Talk to me about how important that is as folks start to figure out human-machine interaction with these bots and what you bring to the table in terms of facilitating that market adoption and growth.

Angus Pacala, CEO, Ouster: Yeah, this is somewhat of a subtle part of our strategy, or maybe we haven’t been communicating enough about how important safety certified sensors are and safety in general is for physical AI. A world in which there are millions and millions of these powerful, capable robots in our world is only a good future if those robots are safe. Humans are bad at judging the level of safety required for us to be comfortable with technology. This is not 99% safety. We can’t have 1 in 100 robots doing something unsafe, falling on your toddler in your home. You can’t have 1 in 100 days, a robot breaking the dishes in your dishwasher. You can’t do this over 1 in 1,000 days if it comes to human safety.

It might be, if you ask people, maybe 1 in every 10,000 days across the robot population, you can have a robot doing something mildly unsafe in your home, but not when it comes to your kids. Then maybe 1 in 100,000 robots can do something unsafe every year in someone’s home. That’s probably the level where most people will accept it. That is vastly beyond where we are today for this technology. The path from getting where we are today to getting where we need to be ultimately comes down to, well, it’s many layered, but a core component is certifiable perception. Knowing that the world around you that you’re sensing is being sensed in a guaranteed certified way that is, quote, "functionally safe" and is correct in kind of all ways and is fault-tolerant.

That’s what we’re beginning to sell is certified safety critical lidar sensors. All Rev8s are going to have this option, and it means that you will literally be able to trust your life and the life of everyone around you on the output of Ouster’s Rev8 lidar products. That’s how we bridge the gap from a robot that works 1 in 100 days to a robot that works 1 in 100,000 days, which is where we need to get. There are many more layers to it, but a really critical and hard part of it is the underlying sensing hardware, and there’s a huge amount of value to capture from being a company that gets there and builds a reputation on providing that kind of technology first.

Moderator: Well, given the fact that we’re just about at time, and that’s a very big idea for people to digest and think about how to value that, I think we’ll leave it there. Guys, I want to thank you all for your time and your partnership here. We value the working relationship with you guys, and are excited about what you’re building. For the investors here, please give me a call if you have any questions. We’re happy to answer questions or get you in touch with the company as it makes sense. So thanks, guys, for the afternoon, and we’ll look forward to talking to you soon.

Angus Pacala, CEO, Ouster: Always a pleasure. Thank you.

This article was generated with the support of AI and reviewed by an editor. For more information see our T&C.

.

[Smart_Asset] Press release...at one time I saw a figure of $19k per pole but guessing that ma...

Smart_Asset — 8/11/2026 8:42:32 AM

Press release...at one time I saw a figure of $19k per pole but guessing that may be much different now.

finance.yahoo.com

Ouster BlueCity with REV8 Lidar Wins Multimillion-Dollar Utah Traffic Modernization Expansion

Ouster BlueCity deployed in Salt Lake City, Utah

Business Wire
Tue, August 11, 2026 at 3:00 AM PDT 8 min read

UDOT installs first Ouster BlueCity with Rev8 OS1 Max

Ouster BlueCity, a complete lidar traffic management solution

Econolite partnership leverages world's first native color digital lidar to expand Ouster BlueCity across 160 intersections with up to 500-foot advance detection for optimized mobility and enhanced safety.

SAN FRANCISCO, August 11, 2026--( BUSINESS WIRE)-- Ouster, Inc. (Nasdaq: OUST) ("Ouster" or the "Company"), a global leader in high-performance lidar sensors and intelligent software solutions, powering Physical AI across the automotive, industrial, robotics and smart infrastructure sectors, announced today that Econolite, a leader in mobility operating systems, was awarded an expansion contract from Utah Department of Transportation (UDOT) to deploy Ouster BlueCity, a complete lidar traffic management solution for actuation, alerts, and analytics, at an additional 160 intersections statewide.

With the first Ouster BlueCity with integrated Rev8 installation already live in Utah,this expanded deployment marks a major technological leap for the state through the integration of Ouster's OS1 Max Rev8 digital lidar sensor. The system introduces up to 500-foot advance detection for corridor-level traffic management alongside the world's first native color lidar detection system. By simultaneously capturing color data and 3D depth, the system delivers unmatched situational awareness to create accurate, high-fidelity digital traffic twins, simplified zone set-up, and more intuitive event recording analysis through improved color visualization. Crucially, the solution features system-level privacy technologies at the edge with blurring of pedestrians and cyclists while fully retaining the rich operational benefits of color data.

The UDOT contract expansion follows a rigorous, real-world assessment of six distinct lidar proposals conducted by the Utah State Evaluation Committee in December 2024 where Econolite's provision of the Ouster BlueCity solution received the highest overall vendor score and ranked first in the lidar hardware & perception software categories.

UDOT's primary objective is to reduce collisions and protect Vulnerable Roadway Users (VRUs), such as pedestrians and cyclists, through smarter, safer, and more sustainable infrastructure. By leveraging an open API architecture, Ouster BlueCity integrates seamlessly with UDOT's existing traffic control ecosystem, including Econolite Cobalt® traffic signal controllers. Installed non-intrusively in as little as three to five hours per intersection, the Ouster BlueCity system generates a color 3D digital traffic twin to enable dynamic traffic signal actuation based on live multimodal demand. Furthermore, the system's long-range multimodal detection and tracking provides a continuous stream of high-fidelity, automated data for corridor-level intelligence and advanced actuation logic. This enables high-impact safety applications such as automated crosswalk extensions for slow-moving pedestrians, dilemma zone protection, turning-vehicle yield warnings, and real-time vehicle-to-everything (V2X) safety alerts broadcast via integration with intersection Roadside Units (RSUs).

"The scaling of Ouster BlueCity's footprint to hundreds of intersections in Utah is a powerful testament to the real-world value the solution delivers daily to transportation agencies and municipalities both large and small," said Asad Lesani, VP, Global ITS Solutions at Ouster. "By leveraging our latest Rev8 OS1 Max digital lidar sensor for these system deployments, UDOT is unlocking a new era of corridor-level, advance detection in native color alongside critical transportation infrastructure compliance, and we are proudly positioned to support the state's long-term roadway modernization and safety goals."

This expansion builds on the momentum of a 2025 UDOT contract awarded to Econolite, which initiated the deployment of Ouster BlueCity across more than 100 intersections statewide utilizing Rev7 digital lidar sensors. The latest agreement brings UDOT's total contracted Ouster BlueCity footprint to nearly 300 intersection and roadway deployments. With Utah included, Ouster BlueCity powers the United States' top three largest, fully integrated lidar traffic management deployments, alongside Nashville and Chattanooga, Tennessee.

"UDOT's decision to expand this deployment underscores the heightened levels of situational awareness the Econolite-Ouster integrated lidar solution brings to modern traffic management," said Jim Madden, Senior Vice President of U.S. Sales at Econolite. "By combining Ouster's advanced system capabilities with Econolite's proven traffic management technologies, we are helping provide the critical mobility intelligence to optimize signal operations, and create safer, more efficient roadways across Utah."

Ouster BlueCity sets a new standard in traffic management with up to 500-foot advance detection and the world's first native color lidar that detects and tracks vehicles, cyclists, pedestrians, and trams for optimized actuation, real-time alerts, and 24/7 data analytics. By combining Ouster's digital lidar sensors and proprietary AI software, the single system captures color (optional) and 3D depth for enhanced digital traffic twin and 2D image visualization. Engineered for long-term reliability in adverse weather and lighting conditions, the solution features privacy-enhancing technology at the edge while retaining the rich benefits of color data. A fast, non-invasive installation unlocks high-fidelity live and historic data alongside 3D recordings for safety events such as near-misses and wrong-way drivers, while an open API architecture ensures seamless ecosystem integration for rapid data sharing. Cities and agencies worldwide use Ouster BlueCity to optimize mobility, streamline operations, and increase road user safety across their intersections, corridors and highway mainlines and ramps. The solution complies with system-level NEMA TS2, Build America, Buy America (BABA) Act, and ISO 27001 cybersecurity. For more information, visit ouster.com/bluecity.

[Smart_Asset] Native color LiDAR is a difference maker. More than just a camera. linkedin.co...

Smart_Asset — 8/7/2026 11:41:58 AM

Native color LiDAR is a difference maker. More than just a camera.

linkedin.com

[Smart_Asset] <
Smart_Asset — 8/6/2026 9:27:12 AM
<<While one American company runs half a million driverless rides a week using cameras, lidar and radar together, the other has logged 14 crashes in about 800,000 miles of robotaxi service with a paid human sitting in the front seat>>

autonocion.com

[Smart_Asset] Reserve the right to be wrong but I believe these are Ouster sensors. Overland ...

Smart_Asset — 8/4/2026 7:21:29 PM

Reserve the right to be wrong but I believe these are Ouster sensors. Overland is Seattle based. I've been to their address in the Fremont district but no access and locked up tight.

youtube.com

[Smart_Asset] This is certainly just scuttlebutt however this poster has been around for a whi...

Smart_Asset — 8/3/2026 10:48:18 AM

This is certainly just scuttlebutt however this poster has been around for a while and has some credibility with me.

<< AJ
@aj5434

Jul 31

I was talking to some industry colleagues today and wanted to share to exciting news on the horizon. Honda is actively advancing its autonomous driving roadmap with a focus on expanding Level 3 ("eyes-off") automated driving beyond niche vehicles and into mass-market models. Honda’s primary platform for high-volume LiDAR adoption is the upcoming Honda 0 Series electric vehicles. These EVs are slated to begin rolling out in North America for the 2027 / 2028 model years, manufactured at Honda's EV Hub in Ohio. From a hardware sourcing perspective, Ouster’s Digital Flash (DF) series presents a compelling LiDAR candidate for Honda's EV architecture. Built on a true solid-state flash architecture with zero moving parts, the DF series delivers the high durability and vibration resistance essential for automotive-grade reliability. It's my understanding that Honda is also working with a few other LiDAR suppliers but I believe Ouster will be the most viable option. We should find out in the near future!!>>

[Smart_Asset] In 2019 Kodiak used Ouster sensors...don't know if that's still the case. inter...

Smart_Asset — 8/2/2026 10:43:25 PM

In 2019 Kodiak used Ouster sensors...don't know if that's still the case.

interestingengineering.com

<<Atlas Energy Solutions Inc. (Atlas) has announced that it intends to expand its autonomous truck operations in the US Permian Basin from 28 to 100 by mid-2027. The company will work with Kodiak AI, Inc. (Kodiak) to make this ambition a reality using its physical artificial intelligence (AI)-powered autonomous driving technology.>>

[Smart_Asset] From stock twits...guessing it's accurate....fed prez no less. << [graphic] Fe...

Smart_Asset — 7/31/2026 11:59:14 AM

From stock twits...guessing it's accurate....fed prez no less.

<<

FedPrez

Follow

$OUST Just thinking about the moat Angus has been building. Ouster has 173 granted patents and 504 pending patent applications. Stereolabs acquisition added 9 for a total of 182 patents granted.>>

[Smart_Asset] Really well constructed site featuring Ouster products. mangoesmapping.com.au

Smart_Asset — 7/24/2026 10:37:45 AM

[Smart_Asset] I believe the Northland option to acquire an additional 500k+ shares at $55+ exp...

Smart_Asset — 7/21/2026 4:34:48 PM

I believe the Northland option to acquire an additional 500k+ shares at $55+ expires 8/2/2026. If it happens the graph from now to then would be pretty vertical.

[Smart_Asset] This is the best summary of Ouster's history, current position, engineering and ...

Smart_Asset — 7/21/2026 3:02:31 PM

This is the best summary of Ouster's history, current position, engineering and more than I have seen to date. Well worth a read.

matrix.nwmls.com

Joe Gannon

Ouster Deep DiveDigital Silicon, Real-World AI: Inside Ouster’s Battle to Map the Physical World

GANNON CAPITAL

JUL 21, 2026
· PAID

To truly understand Ouster ( OUST 8.41%?), you have to appreciate the specific psychological architecture required to build it.

Lidar engineering demands intense, uninterrupted technical sprints, acute systematic pattern recognition, and an almost fanatical hyper-focus. It is a grueling, multi-dimensional chess match played at the intersection of quantum physics, custom silicon design, and advanced photonics. It is an environment where neurodivergent talent, individuals with autism or ADHD who can intuitively manipulate complex, multi-layered data matrices in their minds, are the foundational engine of innovation.

Yet, this reality introduces a profound, unvarnished paradox. The very neurodivergent traits that give Ouster its technological edge also clash violently with rigid startup organizational structures, aggressive public-market timelines, and top-down corporate hierarchies. When communication styles fail or engineering sprints are forced into inflexible corporate molds, critical points of friction emerge. This human capital dynamic, the hidden key-man risk of losing hyper-specialized silicon architects, is the invisible variable that will determine whether Ouster successfully scales or stalls out.

Ouster has recently exploded in popularity, transitioning from a niche automotive sensor provider into a highly debated “Physical AI” powerhouse. The hype is being driven by a massive structural pivot. In May 2026, Ouster unveiled its REV8 OS sensor family, powered by the proprietary L4 Silicon chip. It represents a paradigm shift: the world’s first native-color lidar system, fusing 3D structural data and 48-bit color depth directly on a single piece of semiconductor physics, bypassing the lag and clutter of traditional software sensor fusion.Coupled with a staggering 49% year-over-year revenue surge to $48.6 million in Q1 2026 and a defensive moat bolstered by sweeping federal trade restrictions against Chinese rivals, Ouster is positioning itself as the literal “eyes” of autonomous machines.

But the financial machinery under the hood is moving just as fast, and not without friction. Just weeks ago, on July 6, 2026, management executed a massive, dilutive $200 million public stock offering, catching early investors off guard and sending the stock tumbling 16% in a clear reminder of the company’s aggressive cash-burn realities.

To evaluate Ouster as a long-term investment, we must look past the superficial bull case. We have to look at the chips, the numbers, the human capital, and the macro forces.

Subscribe

Origin Story

In the early days of autonomous vehicle development, lidar was the most glaring, expensive bottleneck on the road. The industry was dominated by analog lidar systems, which were exotic, hand-assembled mechanical monoliths. These legacy sensors relied on hundreds of discrete, painstakingly aligned lasers, receivers, and mirrors spinning in a delicate mechanical dance.

They were fragile, highly prone to physical failure under heavy industrial vibration, and cost upwards of $75,000 per unit. They were essentially custom aerospace instruments forced to do the dirty, high-vibration work of earthmoving, shipping, and automated warehouse logistics.

In 2015, Ouster’s founders, Angus Pacala and Mark Frichtl, realized that if lidar was ever going to scale, it had to stop being a mechanical assembly and start being a semiconductor.

They threw out the spinning gears and the thousands of discrete parts, replacing them with a highly elegant, patented two-chip digital architecture.

1. Chip One: The VCSEL Laser Array

Instead of using expensive, bulky edge-emitting lasers, Ouster utilizes a Vertical-Cavity Surface-Emitting Laser (VCSEL) array. This technology is structurally identical to the low-cost, highly reliable micro-lasers that power Apple’s FaceID on millions of iPhones.

Ouster’s breakthrough was packing up to 128 (and now, 256 in the L4 Silicon generation) of these micro-emitters onto a single piece of silicon no larger than a grain of rice.
The Advantage: Massively reduced footprint, low power consumption, and a cost curve that does not scale linearly with resolution. Adding more lasers simply requires a denser etch on the silicon wafer, not adding more physical parts.

2. Chip Two: The CMOS Receiver SoC

To catch the reflected laser pulses, Ouster designed a custom Complementary Metal-Oxide-Semiconductor (CMOS) System-on-a-Chip (SoC).

This chip is packed with Single-Photon Avalanche Diode (SPAD) detectors.SPADs are incredibly sensitive, quantum-level photon counters capable of timestamping individual, returning packets of light with picosecond (one-trillionth of a second) precision.
Because the receiver is built on standard silicon CMOS, Ouster can integrate massive digital signal processing (DSP) logic directly on the exact same die. The incoming analog light is immediately converted into clean digital 1s and 0s right at the detector level.

The Silicon Leverage

By consolidating a room’s worth of optical complexity down to just two chips and a simple micro-optic lens system, Ouster unlocked a fundamental economic cheat code: Moore’s Law.

While legacy analog competitors are structurally limited by the physical costs of glass, copper, and mechanical labor, Ouster’s performance doubles and its manufacturing cost drops every time the global semiconductor industry advances a node.

This digital transition is the bedrock of Ouster’s entire thesis. It is why they can aggressively target industrial and municipal markets where a $10,000 analog sensor is dead on arrival, but a ruggedized, sub-$1,000 digital sensor is highly disruptive.

History

Ouster’s trajectory is defined by a highly aggressive M&A strategy. Recognizing that a fragmented hardware market would lead to margin erosion and customer confusion, management executed two massive consolidation waves. The first systematically absorbed their primary legacy competitor to gain scale; the second integrated multi-modal sensing to own the entire Physical AI perception stack.

The Consolidation Wave: Absorbing Velodyne (2023)

In February 2023, Ouster completed an all-stock merger of equals with its primary legacy rival, Velodyne. On paper, it was presented as a strategic combination. In operational reality, it was a systematic, hostile architecture migration masquerading as a merger.

The IP Roll-Up: Velodyne was a pioneer of analog mechanical lidar, holding an expansive portfolio of foundational patents. By acquiring Velodyne, Ouster instantly gained control of over 600 combined patents and applications, effectively neutralizing ongoing, highly expensive patent litigation and building an impenetrable IP moat.
The Forced Customer Migration: Velodyne’s legacy customer base was built on its famous, analog “Puck” sensors. However, these mechanical sensors were expensive to manufacture and carried poor long-term margins. Post-merger, Ouster systematically began sunsetting Velodyne’s complex mechanical hardware, forcing a massive, sticky customer base (over 850 combined clients at the time) onto Ouster’s high-margin, digital CMOS architecture.
Operational Squeezing: Within nine months of closing, Ouster aggressively cut overlapping corporate functions, realigned manufacturing footprints, and extracted over $75 million in annualized operating expense synergies.

The Perception Acquisition Spree: Building the Physical AI Brain

Ouster realized early on that selling raw 3D hardware limits a company to low-margin commoditization. To insulate the business, they went on a strategic acquisition spree to build a fully integrated spatial intelligence platform, owning the hardware, the software, and the sensor-fusion compute layer.

Phase 1: Sense Photonics - The Solid-State Foundation (2021)

Ouster acquired Sense Photonics in an all-stock transaction to accelerate its Digital Flash solid-state lidar roadmap.
Unlike spinning sensors, solid-state lidar has zero moving parts, making it highly desirable for automotive ADAS (Advanced Driver Assistance Systems) due to its seamless, low-profile integration behind windshields or grilles.

Phase 2: Stereolabs - Fusing Vision, Depth, and AI (February 2026)

In February 2026, Ouster closed the critical acquisition of Stereolabs for $35 million in cash and 1.8 million shares.
Stereolabs brought over 10,000 global customers, a highly successful line of industrial-grade stereoscopic 3D cameras (ZED series), and a highly optimized Neural Depth Engine.
The Sensory Pivot: This acquisition transformed Ouster from a lidar hardware manufacturer into a comprehensive Physical AI leader. By pairing Ouster’s long-range digital lidar with Stereolabs’ high-density RGB camera data, the company created an out-of-the-box, calibrated sensor-fusion engine.

By owning both the eyes (lidar + cameras) and the brain (perception software + neural depth engines), Ouster can offer customers a unified platform powered by edge-AI compute (utilizing NVIDIA Jetson Orin modules).

In April 2026, this culminated in the release of the ZED X Nano, a ruggedized, wrist-mounted stereo camera built explicitly for robotic arms, imitation learning, and high-throughput Physical AI training data. This software-hardware integration is where Ouster’s ultimate value proposition lies, and where they plan to escape the hardware margin trap.

The Business: What They Do

Ouster is often miscategorized as a basic hardware component vendor, a company that simply sells high-tech laser boxes. But in the context of the global artificial intelligence infrastructure buildout, Ouster operates at a much more strategic vantage point.

When you map the macro-AI investment landscape across its 12 structural layers, Ouster doesn’t just sit passively in a single vertical; it acts as a critical hardware-software bridge between two major pillars: Layer 5 (Compute Hardware) via its custom silicon designs and the specialized Layer 11 (Edge and Physical AI)deployment paradigm that runs parallel to the lower layers of the stack.

Share

Where Ouster Sits: The Layer 5 to Layer 11 Bridge

Large Language Models (LLMs) live in data centers, consuming text and pixels to generate abstract answers. But as the frontier of AI shifts toward Physical AI, these models must inhabit machines, autonomous forklifts, port cranes, mapping drones, and security robots. They move through the chaotic, unpredictable physical world.

The Hardware Foundation (Layer 5: Compute Hardware): Because of its patented two-chip architecture, Ouster functions fundamentally as a fabless semiconductor designer. Instead of building complex mechanical assemblies, it designs Custom AI ASICs (hyperscaler silicon / specialized inference). Its sensors are essentially highly specialized, spatial-compute processors that rely on standard global foundry scaling to double performance and cut costs with every chip generation.
The Deployment Paradigm (Edge and Physical AI): This is where Ouster’s ultimate business intent lies. To operate safely, an autonomous vehicle, drone, or humanoid robot cannot rely purely on loose software interpretations of video frames. It requires deterministic, physical spatial clarity. Ouster provides the native perception layer that translates reality into mathematical coordinates (point clouds) that an Edge and Physical AI brain can instantly parse without burning massive downstream compute overhead.

The Core Hardware Lineup: Capturing the Data

Ouster captures these physical environments via its three primary digital lidar product lines. Every single sensor is built to survive environments that would instantly destroy standard optical cameras:

OS0 (Ultra-Wide View): Built for close-range navigation, indoor logistics, and robotaxis. It provides a 90-degree vertical field of view, acting as the peripheral vision for autonomous platforms.
OS1 (The Flagship Mid-Range): The workhorse of the fleet. Widely used in industrial automation, mining, and agriculture. It balances range (up to 200 meters) with high resolution.
OS2 (Long-Range Sentinel): Designed for high-speed tracking, highway-speed autonomous trucking, and long-range security mapping. It scans up to 400 meters out, capturing high-velocity objects long before they enter a vehicle’s path.

The REV8 & L4 Silicon Evolution (The Real AI Catalyst)

Unveiled just two months ago in May 2026, the REV8 OS sensor family is powered by the custom L4 Silicon chip. This is the specific development that has driven Ouster’s recent popularity among deep tech investors.

Prior to the L4 chip, a robot needed a lidar sensor for depth and a separate RGB camera for color. Engineers had to run complex, compute-heavy calibration software to “glue” the 2D camera image onto the 3D lidar map, a process prone to lag, lens distortion, and error.

The L4 Breakthrough: The L4 Silicon chip processes up to 20 trillion photons per second. It introduces native-color digital lidar. By embedding ambient light detection natively onto the SPAD receiver array, the REV8 sensor outputs a completely unified data stream: a 3D structural point cloud with 48-bit color depth baked directly into every single pixel at the hardware layer.

Moving Up the Stack: Gemini & BlueCity (SaaS Layer)

Hardware commoditizes over time, which is why Ouster is aggressively building an enterprise software layer directly on top of its sensors:

Ouster Gemini: An enterprise spatial-intelligence platform that tracks people and vehicles across wide environments. It aggregates data from multiple sensors, serving as an operating system for automated security, crowd management, and factory safety.
BlueCity: A turnkey solution focused entirely on Intelligent Transportation Systems (ITS). It monitors intersections, optimizes traffic-light timing based on real-time pedestrian presence, and predicts near-miss collisions to improve municipal safety.

By selling hardware bundles wrapped in multi-year Gemini or BlueCity software contracts, Ouster is attempting to escape the boom-and-bust cycles of pure hardware components, carving out a sticky, recurring revenue stream in the broader AI infrastructure buildout.

Gannon Capital Neurodivergent Thoughts

Traditional sensor fusion, stitching a 2D color camera feed onto a separate 3D lidar map, is the computational equivalent of sensory overload. The machine’s “brain” is forced to constantly reconcile two completely different versions of reality, burning massive compute overhead just to correct for time lags and spatial distortion.

The L4 chip eliminates this executive dysfunction at the hardware layer. By capturing depth and 48-bit color simultaneously on a single array, the data is born fully integrated. For a Physical AI, receiving a native-color point cloud removes the chaotic noise of software translation, trading intense sensory clutter for absolute, deterministic clarity.

Subscribe

The Thesis: The Inflection Point of Physical AI

The central paradox of the autonomous vehicle revolution is that it left a trail of bankrupt lidar companies in its wake. High-profile names bled hundreds of millions of dollars in capital while waiting for multi-year passenger automotive OEM design wins that were perpetually delayed or cancelled.

Ouster survived, and is now approaching a structural inflection point, because it rejected that single-threaded automotive narrative. Instead, management built an operational thesis centered around immediate cash generation in rugged industries and a full-stack ecosystem capture of Edge and Physical AI.

1. The Non-Automotive Cash Engine

While competitors tied their fates to luxury consumer cars, Ouster targeted Industrial Automation and Smart Infrastructure. These verticals possess radically different business economics that have enabled Ouster to outpace the industry:

Compressed Sales Cycles: Securing a design win with a global automotive manufacturer takes 5 to 7 years of un-monetized R&D. Conversely, retrofitting a fleet of autonomous forklifts for a logistics giant or deploying automated terminal tractors at a major shipping port takes months.
Superior Pricing Power & Margins: Automotive OEMs squeeze component suppliers down to razor-thin margins. Industrial, mining, and agricultural buyers, however, prioritize equipment uptime and extreme ruggedness (such as Ouster’s shock-tested IP68/69K ratings). They willingly pay a premium for hardware that prevents catastrophic operational downtime.
Immediate “Scale In” Infrastructure: In 2026, the Intelligent Transportation Systems (ITS) industry transitioned from experimental pilots to city-wide rollouts. Ouster capitalizes on this via massive, formalized municipal deployments, such as its 130+ intersection grid in Chattanooga and over 100 intersections in Utah.

This diverse industrial cash engine allowed Ouster to achieve $48.6 million in Q1 2026 revenue (a 49% YoY surge), entirely insulating the business from the sluggish passenger EV market.

2. Physical AI Ecosystem Capture: Escaping the Hardware Trap

Selling raw silicon hardware is ultimately a race to the bottom. If Ouster only sold sensors, tech giants or subsidized foreign competitors could eventually commoditize their hardware margins. To block this, Ouster has spent years building a triple-threat ecosystem: The Hardware (REV8), The Compute, and Pre-Trained Perception Software (Gemini/BlueCity).

When an automation customer integrates Ouster, they are plugging into a complete spatial intelligence ecosystem:

The Zero-Copy Pipeline: By collaborating with cutting-edge physical AI foundational platforms like FieldAI (which designs universal robot “brains” for unstructured environments) and AIM Intelligent Machines (heavy earthmoving autonomy), Ouster embeds its REV8 L4 silicon directly into the core training models of modern robotics.
SaaS Lock-In: Once a city maps its entire traffic grid using Ouster’s BlueCityplatform ahead of massive infrastructure events (like the New Jersey DOT deploying BlueCity across MetLife Stadium transit corridors for the mid-2026 FIFA World Cup final), the software layer becomes completely indispensable.

3. The 2026 Inflection Point: Why the Hype is Real Now

The broader AI narrative has officially moved past conversational chatbots. The market is aggressively funding the transition to Physical AI, the layer where autonomous vehicles, humanoid robotics, defense systems, and smart factory floors must compute reality in real time.

Ouster sits exactly at the bottleneck of this shift. Because its new REV8 family outputs a native 3D color point cloud directly from the chip, it slashes the massive computational power required by neural networks to fuse separate camera images and lidar frames. It makes the “brain” of a robot lighter, cheaper, faster, and exponentially more responsive. Ouster is approaching its true commercial inflection point because it has positioned its proprietary silicon to be the mandatory, universal entry point for all physical machine intelligence.

The Competition: The Geopolitical and Architectural Battleground

The lidar and physical AI sensor market is not a civilized corporate rivalry; it is a hyper-fragmented, highly litigious, and geopolitically charged warzone. While Ouster has successfully transitioned to a digital silicon architecture, its competitors are attacking from multiple angles: some lean on massive state-subsidized manufacturing scale, others hunt for exclusive multi-year automotive monopolies, and one massive outlier aims to eliminate the entire product category through software.

Below is the competitive matrix of the global landscape, mapping Ouster’s primary rivals and the specific, existential threats they pose to its business model.

1. The Geopolitical Cost Goliath: Hesai Group ( HSAI -0.19%? )

Hesai is a manufacturing powerhouse based in Shanghai, dominating the global robotaxi and commercial lidar markets through raw volume. They specialize in high-performance sensors and have aggressively developed their own custom ASICs (such as the Picasso platform) to lower their bill of materials.

The Structural Weakness: Hesai is facing severe geopolitical headwinds in the West. It was placed on the U.S. Department of Defense’s list of Chinese military companies, effectively barring it from federal procurement and causing massive compliance anxiety among Western enterprise customers.
The Biggest Potential Threat to Ouster: The Non-Aligned Market Freeze. If Hesai is fully blocked from the U.S. and Europe, it will focus entirely on dominating China, Southeast Asia, Latin America, and the Middle East. With massive state-backed domestic volume, Hesai can depress global sensor pricing to a point where Ouster cannot compete in non-Western markets, permanently capping Ouster’s international scaling potential.

The Thailand Supply Chain Loophole: Hesai is actively constructing its massive “Galileo” automated manufacturing facility in Bangkok, Thailand. If Chinese players successfully use non-aligned Southeast Asian production hubs to bypass Western tariff structures and satisfy enterprise compliance anxieties, they can deploy their hyper-volume economies of scale, doubling capacity to 4 million units.

2. The Domestic Fast-Follower: RoboSense ($2498.HK)

Backed by Chinese automotive and tech giants like BYD and Alibaba, RoboSense has scaled phenomenally quickly by focusing on mass-market automotive integrations. They specialize in solid-state and MEMS (Micro-Electro-Mechanical Systems) lidar, providing low-profile sensors optimized for passenger vehicle assembly lines.

The Structural Weakness: Like Hesai, RoboSense faces tightening trade restrictions, tariffs, and intellectual property scrutiny in Western markets, leaving them highly exposed to the domestic Chinese automotive price war.
The Biggest Potential Threat to Ouster: IP Infringement and Hardware Commoditization. RoboSense excels at rapidly reverse-engineering and adapting Western technology concepts at a fraction of the R&D cost. If they successfully bypass Ouster’s digital lidar patents or produce a “good enough” low-cost digital clone for global industrial markets, they could trigger a race to the bottom, stripping Ouster of its premium hardware margins.

3. The Bespoke Automotive Titan: Luminar Technologies ( LAZR 4.18%?)

Luminar is the poster child for passenger vehicle lidar integration, securing high-profile development deals with premium automotive brands like Volvo and Mercedes-Benz. They operate at a different wavelength, literally, utilizing a 1550nm fiber laser architecture that allows for extreme long-range tracking and high resolution at highway speeds.

The Structural Weakness: Luminar’s 1550nm architecture relies on expensive, exotic materials like Indium Gallium Arsenide (InGaAs) rather than standard silicon. This has crippled their margins, leading to extreme cash burn and repeated delays in scaling mass assembly lines.
The Biggest Potential Threat to Ouster: The Tier-1 Automotive Lockout. If Luminar successfully resolves its manufacturing bottlenecks and proves that its ultra-long-range 1550nm sensor is the only safe option for high-speed autonomous highway driving, they could lock down the global passenger automotive market entirely. This would force Ouster to remain permanently sidelined in lower-speed industrial and municipal niches.

4. The Agile Dealmaker: Innoviz Technologies ( INVZ 6.63%?)

Innoviz is an Israeli lidar pioneer that secured massive, multi-billion-dollar forward-looking design wins with major OEMs like BMW and the Volkswagen Group. They specialize in high-performance solid-state lidar designed to meet the brutal safety and regulatory standards of the consumer automotive world.

The Structural Weakness: Their revenue is entirely tied to the whims of legacy car companies. When Volkswagen or BMW delay their software-defined vehicle architectures, Innoviz’s revenue pipeline stalls out, forcing them to survive on continuous capital raises.
The Biggest Potential Threat to Ouster: Vertical Piracy. If consumer automotive growth remains stagnant, Innoviz will be forced to aggressively pivot into Ouster’s home turf: industrial automation, heavy machinery, and defense. Because Innoviz has already spent years optimizing their sensors for brutal automotive safety standards, they could rapidly repackage their hardware to steal Ouster’s core industrial customers.

5. The Existential Software Radical: Tesla ( TSLA 2.40%?) & The Vision-Only Camp

Led by Elon Musk, Tesla is the ideological arch-nemesis of the entire lidar industry. Tesla’s Full Self-Driving (FSD) architecture relies completely on a “vision-only” approach, using cheap, passive optical cameras and deep neural networks to infer 3D spatial geometry purely from 2D pixel data.

The Structural Weakness: Cameras are inherently passive; they struggle in blinding glare, heavy fog, pitch-black environments, and chaotic edge cases where LIDAR’s active photon counting is mathematically superior.
The Biggest Potential Threat to Ouster: If Tesla’s vision-only FSD achieves regulatory approval and widespread commercial success without ever using a lidar sensor, it will fundamentally shatter the investment thesis for spatial hardware. Industrial forklift manufacturers, drone builders, and municipal planners might conclude that paying for expensive lidar silicon is an unnecessary hardware tax, migrating entirely to cheap camera feeds running advanced, vision-based Physical AI models.

Gannon Capital Neurodivergent Thoughts:

Ultimately, the true threat matrix for Ouster does not come from legacy automotive rivals, but from an intense convergence of geopolitical pricing and software innovation. In the near term, Chinese giants like Hesai pose an aggressive commercial bottleneck; if trade barriers isolate them from the West, they will likely dump low-cost silicon platforms into international markets, heavily capping Ouster’s global expansion. Structurally, however, the ultimate existential threat is the exponential advancement of the vision-only paradigm championed by Tesla. If vision-based Physical AI models become sophisticated enough to compute flawlessly using cheap, passive optical cameras alone, the economic necessity for premium, active-photon lidar sensors will completely evaporate. Investors must weigh whether Ouster can solidify its semiconductor advantage before global price wars or software-only breakthroughs rewrite the rules of spatial intelligence.

The Moat

Evaluating a company’s long-term viability requires examining its moat, not just identifying it, but analyzing its true structural depth. For Ouster, the moat is an intriguing mix of airtight legal barriers, clever asset-light structural engineering, and intense internal human capital dynamics.

The Patent Wall

Why it is a moat: Lidar technology is an architectural minefield. By pulling off the massive Velodyne merger asset assimilation, Ouster consolidated the foundational, pioneering IP of the entire lidar industry while simultaneously acquiring customers. Ouster controls over 400 active patents globally. This means if a competitor wants to utilize multi-channel optical sensing architectures or specific SPAD (Single-Photon Avalanche Diode) receiver setups, they have to navigate Ouster’s legal perimeter.
Exactly how deep it really is: Moderately Deep to Formidable. In January 2026, the Federal Circuit dismissed major appellate validity challenges brought by Chinese rival Hesai over Ouster’s core distance-sensing and multi-channel patents (like U.S. Patent No. 11,190,750 B2), leaving Ouster’s claims fully intact and legally unchallenged. Ouster has successfully leveraged these multi-year legal battles to force settlements and private cross-licensing negotiations. However, because it is a defensive moat, it primarily keeps competitors out of the U.S. domestic market; it cannot completely prevent an offshore competitor from engineering an alternative architecture for non-Western jurisdictions, which China is notorious for.

Manufacturing Delegation

Why it is a moat: Building a custom semiconductor fabrication or precision optical assembly plant costs hundreds of millions of dollars in capital expenditure (CapEx). By outsourcing the physical manufacturing of its sensors to Tier-1 contract manufacturers like Benchmark Electronics ( BHE 1.81%?), Ouster remains entirely asset-light.
Exactly how deep it really is: A Structural Moat with High Scale Elasticity. This moat expanded significantly with the formal rollout of the REV8 OS sensor family. Ouster and Benchmark deepened their alliance, launching an automated production line with an established capacity exceeding 100,000 units per year. Benchmark brings highly specialized precision microelectronics and multi-site global flexibility (20 facilities across 8 countries). This allows Ouster to effortlessly ramp production to match macro demand spikes without holding heavy, dilutive physical factory liabilities on its balance sheet. The depth here isn’t the manufacturing itself; it’s the cost elasticity it grants Ouster during volatile market cycles.

Neurodivergent Execution & Cult Dynamics (The Double-Edged Sword)

Why it is a moat (The Upside): To maintain a generational hardware advantage, a company must foster an environment optimized for hyper-focus. Designing digital lidar chips that process 20 trillion photons per second requires rare cognitive strengths: profound spatial pattern recognition, intense systematic coding architecture, and an ability to run uninterrupted, highly technical sprints on minute electronic details. Ouster’s real advantage is that its core chip-design lab acts as a natural talent magnet for brilliant, neurodivergent engineers who thrive in these hyper-focused domains.
Exactly how deep it really is (The Hidden Fracture/Downside): Shallow and Fragile. While the upside creates a massive technology lead, the internal execution risk is remarkably high. Glassdoor reviews and insider feedback routinely reveal a rigid engineering core or an insular “founder’s clique.” For neurodivergent engineers who require explicit, unambiguous communication and clear structural boundaries, a fast-moving corporate setting driven by unwritten social dynamics or abrupt executive pivots creates immense friction.

Gannon Capital Neurodivergent Thoughts:

This human capital risk creates an acute key-man vulnerability. If top silicon architects face burnout or feel alienated by cultural cliquishness, they’ll exit. When highly specialized software validation or hardware engineering talent turns over rapidly, product pipelines stall.

This is a critical risk to track because it is completely invisible on a standard regulatory filing. Investors look at the top-line technology specs, but the internal organizational engine required to build them is fragile and requires careful corporate management to sustain.

Subscribe

Strategic Partnerships & Alliances

A hardware platform is only as strong as its distribution and integration ecosystem. Ouster has deliberately avoided the “lone wolf” approach, instead securing critical alliances that embed its digital lidar into massive commercial pipelines and lock down heavily protected public sector markets.

Industrial Heavyweight Deals

The AIM Intelligent Machines Fleet Expansion: In mid-2026, Ouster finalized a high-volume strategic supply agreement with AIM Intelligent Machines to deploy the native-color REV8 sensors. Rather than just a trial run, this multi-year collaboration expands into retrofitting heavy construction, earthmoving, and mining equipment (like bulldozers and excavators) into fully autonomous, AI-powered fleets.
The Extreme Environment Proof Point: Operating heavy machinery in high-dust, GPS-denied, and infrastructure-absent environments represents one of the harshest real-world test beds imaginable. Success in these conditions serves as a crucial commercial validation for the reliability of the REV8 platform, signaling its readiness for broader multi-market adoption across robotics and defense.
Manufacturing Scale via Benchmark Electronics: To meet the volume demands of these commercial deals, Ouster expanded its long-standing manufacturing partnership with Benchmark Electronics in 2026. This setup utilizes an automated production line capable of scaling output to over 100,000 units per year, underpinning a planned 10-year production lifespan for the REV8 family.

Ecosystem & Cross-Industry Momentum

The NVIDIA DRIVE Pipeline: Crucially, the REV8 has qualified for NVIDIA’s DRIVE Hyperion platform. By securing a spot within one of the world’s premier autonomous vehicle development ecosystems, Ouster ensures its hardware is top-of-mind for developers building next-generation Physical AI applications.
Diversified Commercial Traction: The REV8’s commercial pipeline stretches far beyond basic automotive applications:
- Industrial Inspection: Gecko Robotics has adopted the platform for automated industrial inspections.
- Off-Grid Robotics: FieldAI is leveraging the hardware to guide autonomous mobile robots navigating complex, unstructured environments.
- Defense & Aerospace: ARGUS Interception is integrating the sensors into specialized counter-drone systems.
- Sensor Optimization: Ouster is also collaborating with Fujifilm to weave specialized color science directly into the REV8, elevating 3D point cloud image quality without needing separate, external camera hardware.

Regulatory Alignment & Public Infrastructure Sourcing

The BABA Compliance Moat: In June 2026, Ouster achieved strict Build America, Buy America (BABA) Act compliance for the entire REV8 OS digital lidar family. The BABA Act mandates severe domestic procurement preferences for federally-funded projects, creating an immediate regulatory barrier for foreign hardware competitors.
Unlocking Federal and Municipal Funding: This certification establishes federal eligibility, enabling state and local transportation agencies, engineering firms, and system integrators to leverage government infrastructure grants for Ouster hardware. This positions the company to capture massive capital allocations flowing into Intelligent Transportation Systems (ITS), smart city grids, tolling networks, and public transit upgrades.
The BlueCity Advantage: This regulatory alignment directly supercharges Ouster’s BlueCity traffic management platform. By packaging BABA-compliant REV8 sensors with its proprietary 3D AI perception software, Ouster provides municipalities a turnkey, federally-fundable solution for 500-foot advanced multimodal detection, roadway analytics, and real-time safety alerts.

Gannon Capital Neurodivergent Thoughts:

Ouster’s partnerships with AIM Intelligent Machines and NVIDIA depend heavily on its internal human architecture. Scaling these massive integrations requires solving complex, multi-system challenges; a domain where neurodivergent engineers excel due to their intuitive macro-to-micro pattern recognition and ability to map native color point clouds into external AI frameworks.

However, corporate alliances are inherently chaotic, characterized by shifting client demands and ambiguous communication. If Ouster’s leadership fails to shield its hyper-focused engineering core from this external administrative noise, product timelines will slip. The longevity of these multi-million-dollar deals relies entirely on management’s ability to protect the unique cognitive processing styles required to execute them.

Share

The Numbers

When analyzing Ouster’s balance sheet, the narrative splits into a dramatic tug-of-war between accelerating, high-margin product adoption and the brutal reality of public-market equity dilution. The company is actively executing on its business strategy, but it continues to require outside capital to sustain its operations.

The Core Baseline & Unit Economics (Q1 2026)

Top-Line Momentum: Ouster delivered $49 million in total revenue for Q1 2026, marking a powerful 49% year-over-year increase and its 13th consecutive quarter of product revenue growth. This trajectory was powered almost entirely by surging demand in the industrial and smart infrastructure verticals.
Volume Mechanics: The company shipped more than 12,600 lidar and camera sensors in a single three-month window.
Margin Resiliency: Ouster maintained a healthy Non-GAAP gross margin of 46%. This stability proves that despite operating in a highly competitive sensor landscape, the company’s digital chip architecture gives it the structural leverage to resist immediate pricing decay.

The Profitability Gap

The EBITDA Bridge: Ouster continues to move closer to an operational inflection point, trimming its Adjusted EBITDA loss down to $7 million for the quarter (a modest $1 million improvement from the prior year).
The GAAP Reality: Despite progress on an adjusted basis, true GAAP net losses remain stuck at $17 million. High structural overhead, including GAAP operating expenses hitting $40 million per quarter, continues to pull cash out of the business before it can cross the threshold to positive net income.

Gannon Capital is a reader-supported publication. To receive full access to my posts, my entire portfolio, and real-time updates on all purchases and sales, consider becoming a subscriber.

Subscribe

Forward Guidance: The Near-Term Horizon

Q2 2026 Targets: For the upcoming second quarter of 2026, management issued total revenue guidance of $49.5 million to $52.5 million. At the midpoint ($51 million), this signals a continued sequential rise and maintains a 48% year-over-year growth pace.
The Three Profitability Pillars: To convince investors that a breakeven milestone is within reach, management outlined explicit long-term operational targets:
- Maintaining 30% to 50% annual revenue growth.
- Defending 35% to 40% GAAP gross margins.
- Keeping the growth of GAAP operating expenses capped at less than 5% year-over-year.

The July 2026 Dilution Event

The Balance Sheet Buffer: While Ouster closed Q1 2026 with a comfortable $175 million cash position and zero debt, management took aggressive defensive action to shore up its capital runway.
The Capital Raise: On July 2, 2026, Ouster priced a massive underwritten public offering of 3,621,876 common shares at $55.22 per share, yielding a gross capital injection of roughly $200 million.
The Equity Tax: From a pure corporate survival standpoint, this move is a masterstroke as it completely eliminates bankruptcy or near-term liquidity risk while fully funding the capital-heavy production ramp of the new REV8 family. However, for existing equity holders, this massive capital raise acts as a severe near-term dilution event, forcing shareholders to absorb a significant structural hit to their fractional ownership in exchange for a longer operational runway.

This massive July 2026 dilution event perfectly captures the central paradox of Ouster: a business executing phenomenally well on its technological and regulatory roadmap, yet one that remains a public-market capital consumer. With a freshly fortified $375 million cash stack, bankruptcy is off the table, and the runway is clear for the REV8 silicon rollout. But as a long-term investor, you cannot buy a stock based on a compelling narrative or a clean balance sheet alone; you must buy it based on the cold, hard reality of forward-looking cash flows and risk-adjusted probabilities.

Now that we have dismantled the technology, the geopolitical tailwinds, the organizational psychology, and the raw financials, it’s time to find out what this business is actually worth.

[Smart_Asset] Employee count now 385 as of 7/20/2026 so 8 hires in the last 12 days. The plac...

Smart_Asset — 7/20/2026 11:29:20 AM

Employee count now 385 as of 7/20/2026 so 8 hires in the last 12 days. The placement is perhaps being used to prepare for a ramp. Guessing more engineers.

<<Employee count now 377 as of 7/8/2026.

<<<<<<<Ouster employee count up to 313 from 300 earlier in the year. Here are some openings. Looks to me like a growing company.>>

Employee count now 324 and institutional ownership just short of 61%..two good signs.>>

Employee count now 328.>>

Now 330....3 days hence...some reason for this which for now is unknown for me. I might quietly speculate.>>

Employee count now 335...appears they are still hiring.>>

Now 339...I don't think this includes Stereolabs and a Gemini search has them with approximately 50 so the actual number may be approaching 400. Stereolabs is French based so Euro defense contractors, infrastructure, and industrial are all in play there. Ouster already had significant revenues from the Euro zone.>>

Employee count now 343...still hiring.>>

Employee count now 348 with 29 job openings...>>>

359 with 27 job openings.>>

Now 370 with 25 job openings. I don't know if this includes the Stereolabs crew. 6/27/2026>>

[Smart_Asset] World Cup day... <
Smart_Asset — 7/19/2026 5:30:56 PM
World Cup day...

<<NJDOT Deploys Ouster BlueCity in preparation for FIFA World Cup 2026
Ouster BlueCity to be deployed at 42 urban highway locations covering mainline and ramps close to the MetLife Stadium

The deployments are part of New Jersey Department of Transportation’s (NJDOT) project representing the largest and fastest Intelligent Transportation System (ITS) deployment in the State’s history.

NJDOT’s project integrates Ouster BlueCity into the statewide Advanced Traffic Management System (ATMS) for enhanced mobility and safety.>>

[waitwatchwander] OT: Yes, that's what makes for a market. Those also day traders temporarily sp...

waitwatchwander — 7/15/2026 6:34:16 PM

OT: Yes, that's what makes for a market. Those also day traders temporarily spread about on dining room tables.

Gains (and losses) can accumulate with buy and hold.

If only it was so simple, eh

[Max Fletcher] This is a potential decade(s) long play. There can be little doubt Physical AI w...

Max Fletcher — 7/15/2026 5:25:52 PM

This is a potential decade(s) long play. There can be little doubt Physical AI will be an enormous area of growth, over many many years. Ouster has, what, 10,000 customers with many beginning to transition from development to deployment. The next cc should be informative. I’m giving Angus the benefit of time - so far he has underpromised and over delivered in every respect as SA knows much better than me.

I suppose a short term trader could do well with the +/- price changes. Unless the story changes I expect to hold my shares for many years to come. I have little regard for short term price swings, in either direction.

GLTA

[waitwatchwander] Not been very good around here since the recent raise of additional funding. Ev...

waitwatchwander — 7/15/2026 2:52:27 PM

Not been very good around here since the recent raise of additional funding.

Everyone has an opinion and most do come with an agenda.

[Smart_Asset] Oppenheimer raises Ouster target price to $57.. x.com

Smart_Asset — 7/15/2026 12:07:46 PM

[Smart_Asset] A head spinner for me.... <
Smart_Asset — 7/14/2026 11:34:38 AM
A head spinner for me....

<<Defiance ETFs has officially launched the Defiance Daily Target 2X Long OUST ETF (Cboe: OUSL), marking the first daily double-leveraged ETF tailored for Ouster, Inc. (Nasdaq: OUST). This innovative investment vehicle aims to provide active traders with amplified exposure to Ouster, a company specializing in digital LiDAR sensors and perception software for autonomous vehicles, robotics, and other advanced technologies. The ETF seeks to deliver 200% of the daily percentage change in Ouster's stock price, thus allowing investors to capitalize on short-term bullish trends in the company.

OUSL is specifically designed for knowledgeable traders who understand the risks associated with leveraged investments and are willing to closely monitor their portfolios. Unlike traditional ETFs, OUSL targets daily performance and does not aim for a compounded return over longer periods. Investors should be aware that while the fund provides potential for significant returns, it also carries heightened risks, including the possibility of losing the entire principal in a single trading day.

Ouster, Inc., which operates within the fast-paced Electronic Equipment, Instruments, and Components industry, has a diverse client base, including early-stage technology firms globally. However, investment in OUSL does not equate to direct ownership of Ouster shares, and investors will not receive dividends or voting rights associated with OUSTER.

Potential investors must consider various risks, including market volatility, single-issuer reliance, and derivative usage. These factors may lead to significant performance deviation from OUST’s stock price. High turnover and liquidity risks may further affect the ETF. For comprehensive details, including risks and fund performance, interested parties can access additional resources through Defiance ETFs.

MWN-AI** Analysis
The recent launch of the Defiance Daily Target 2X Long OUST ETF (Cboe: OUSL) presents an intriguing opportunity for active traders seeking to capitalize on the potential growth of Ouster, Inc. (Nasdaq: OUST), especially within the expanding LiDAR technology sector. This ETF is designed to deliver 200% of the daily performance change of OUST, which positions it as a high-risk, high-reward instrument tailored for experienced investors.

Ouster operates in a competitive niche, providing LiDAR sensors crucial for sectors such as autonomous vehicles and robotics. Given the increasing investment in automated technologies, OUST holds promising upside potential. However, traders should remain cognizant of the inherent volatility linked to technology stocks, compounded by the ETF's use of leverage. As the ETF magnifies daily price movements, both gains and losses can be amplified—traders must monitor their positions closely and be prepared for rapid fluctuations.

It's critical to highlight the ETF's design: it seeks short-term investment results, meaning that its performance may deviate significantly from the expected 200% return over longer periods due to compounding effects. Thus, OUSL should ideally be utilized for tactical trading rather than as a long-term investment vehicle.

Moreover, market conditions and macroeconomic factors also play a substantial role in OUST’s pricing dynamics. Investors are advised to keep an eye on industry trends, competition, and any regulatory developments that could impact Ouster's business model.

In conclusion, while OUSL offers a non-traditional avenue for bullish plays on Ouster, the associated risks demand a thorough understanding and active portfolio management strategy. For those willing to navigate its complexities, OUSL could serve as a compelling tactical trade within the burgeoning tech landscape.>>

[waitwatchwander] Caterpillar came to Microvision via their Luminar (1550nm) asset purchase. shar...

waitwatchwander — 7/13/2026 2:16:32 PM

Caterpillar came to Microvision via their Luminar (1550nm) asset purchase.

share.google

[Smart_Asset] Ouster provides the LiDAR sensors for Komatsu. Micro Vision the current provide...

Smart_Asset — 7/13/2026 1:50:22 PM

Ouster provides the LiDAR sensors for Komatsu. Micro Vision the current provider for Caterpillar. AI generated article.

autonocion.com

If you follow self-driving cars, you know this week’s scoreboard. Waymoflipped Las Vegas to fully driverless and named Denver, San Diego and Tampa as the next three, running about 3,500 robotaxis and more than 20 million trips to date, according to Electrek. Tesla’s rival service, launched in Austin in June 2025, is still down to roughly 20 driverless cars covering about 245 square miles, per third-party tracking. Waymo has been at this since 2009, and the argument is still about four-way stops.

Meanwhile, there are more driverless haul trucks moving rock around the planet right now than there are Waymos on American streets. They weigh 320 tons each and nobody argues about them.

On April 21, Komatsu announced it had commissioned its 1,000th autonomous ultra-class haul truck, the first manufacturer to reach that number. The truck that got it there is a 930E-5AT, an electric-drive machine rated at 320 US tons, or 290 metric tons, in one load. It went to work at Barrick’s Nevada Gold Mines, the surface operation Barrick runs as a joint venture with Newmont.

A mine is an easier problem than a city, and that is the whole pointA robotaxi has to deal with jaywalkers, a van double parked in the bike lane, cones that moved overnight, and a cyclist treating a red light as a suggestion.

A haul truck deals with none of it. The road is private, the route is a fixed loop from shovel to crusher, and every other vehicle on that road belongs to the mine and answers to the same dispatch system. The truck is a 2,700-horsepower diesel-electric machine, and the hardest thing it meets on a shift is a pickup driven by someone who was trained on a simulator before being allowed near it.

The connectivity matters more than the sensors. At Cortez, Nevada Gold Mines built a private 5G network with Nokia and Sedna because the Wi-Fi it had been using could not keep up. NGM Director of Innovation and Technology Matthew Majors told Engineering & Mining Journal that access points had been bolted on as needed, which worked fine for fleet management and not at all for automation.

Komatsu launched FrontRunner in 2008. It had 875 autonomous trucks in service in May 2025 and 1,000 eleven months later. Those fleets have moved more than 11.5 billion metric tons of material. Komatsu says autonomous operation inside the design envelope averages a 40% improvement in tire and brake life and a 13% cut in overall maintenance.

APRIL 21, 2026
KOMATSU MILESTONE
1,000
Autonomous ultra-class haul trucks commissioned. Up from 875 in May 2025.

TRUCK NO. 1,000
320 tons
Rated payload of the 930E-5AT at Nevada Gold Mines. 290 metric tons, 2,700 hp.

SINCE 2008
11.5 bn
Metric tons of rock and ore moved by driverless Komatsu fleets worldwide.

GLOBAL FLEET
~4,000
Autonomous haul trucks in mines worldwide. More than half of them in China.

Ten trucks at Cortez, and a plan to automate every haul road NGM ownsThe press release is the tidy version. E&MJ went to Cortez and counted trucks. As of mid-April, NGM had 10 hauling autonomously, with another 13 converted and waiting, and expects all 23 in production by the end of the summer. Phase 3 takes the system to the Carlin mine. The stated aspiration is every primary haul road NGM owns.

Autonoción Newsletter
The best car news, free, every morning
Subscribe
No spam. Unsubscribe anytime. Privacy policy (opens in new window)

None of it was quick. Barrick converted five Komatsu 930E-2 trucks at Goldstrike in 2018 and ran them in the Arturo pit for two years as a proof of concept. NGM later bought 62 new 930E-5 haul trucks and specified them as autonomous-ready, so the kits could bolt on later. It picked FrontRunner in late 2023 and began the real rollout at Cortez in 2025, with five trucks doing reclamation work in a fenced-off corner of the pit.

The industry has a name for what happens next when this goes wrong. They call it the pit of despair: a mine nails the five-truck trial, scales up, and watches production sag because nobody trained the workforce for the full-size version. NGM has run more than 9,000 hours of automation training with over 100 employees to avoid it.

Majors gave E&MJ two reasons. Safety first: shovels drop big rocks into big trucks, and the soft-tissue injuries that causes are not fixed by stretching programs. Then labor. Northeastern Nevada cannot staff the mines it already has, let alone the ones ramping up.

Mark Hill, Barrick’s president and chief executive, said in Komatsu’s announcement that pulling operators off haulage means “autonomy supports safer, more skilled roles.” Which is corporate for: the driving job goes away. What has happened at Cortez so far is narrower than the press release or the cynicism. E&MJ reports no layoffs from the rollout, roles changing rather than vanishing, and shovel operators who like the arrangement because the loading rhythm is now theirs to set. Their verdict, relayed by Majors: “The trucks just keep coming.”

Caterpillar is not sitting this one outCat runs its own system, Command for hauling. The company says more than 820 autonomous Cat trucks are working worldwide, that they have hauled over 11 billion tonnes between them, and that they have done it with no reported injuries

The target is bigger than the fleet. At Caterpillar’s investor day in November, Resource Industries group president Denise Johnson said the company intends to triple the 690 autonomous trucks it counted at the end of 2024, which lands it past 2,000 by 2030. She pointed at declining ore grades, rising input costs and labor as the drivers, and put autonomy’s growth rate at about 12% a year.

A lot of that is supposed to come from smaller sites rather than giant open pits. Cat’s first quarry deployment, a fleet of 777s at Luck Stone’s Bull Run plant in Virginia, hauled its first million tons by July 2025 and passed two million inside its first year.

China went straight to battery-electric, and skipped the cabThe Huaneng Yimin open-pit coal mine in Inner Mongolia is China’s second-largest, with capacity for 35 million metric tons a year. Since May 2025 it has run 100 driverless haul trucks built by XCMG that are also fully battery electric, coordinated over a Huawei 5G-Advanced network.

Each truck carries 90 metric tons on a swappable 568 kWh lithium iron phosphate pack. Swaps take about five minutes, with a success rate above 98%, Electrek reported in March after the fleet had logged thousands of hours. Huaneng claims the trucks hold records for payload, speed and cold, running continuously at minus 40 degrees Celsius, which is also minus 40 Fahrenheit.

Huawei says the Yimin truck is the first mining truck in China built with no driver’s cab at all, on the logic that a truck with nowhere to sit keeps people out of the hazard zone entirely. Komatsu and Caterpillar are automating trucks that were designed around a driver. XCMG built one that never had a seat to remove.

Roughly 4,000 autonomous haul trucks now work in mines worldwide, more than half of them in China, per Marketplace. Electrification is running well behind automation, though. Even the Australian gold mine that ran 155 straight hours on solar, wind and one battery still has a haul fleet burning diesel every shift.

CORTEZ, NEVADA
10 of 23
Trucks hauling autonomously as of mid-April. The rest are converted, targeted for this summer.

YIMIN, INNER MONGOLIA
-40°
Continuous operating temperature. 100 battery-electric trucks, 90 metric tons each, no cab.

NASHWAUK, MINNESOTA
400 tons
Per load, on Mesabi Metallics’ Komatsu trucks. The tires alone stand 13 feet tall.

Minnesota bought the trucks before the mine openedLast November, hundreds of people lined up outside the offices of Mesabi Metallics in Nashwauk, Minnesota, to look at a truck. It was a 400-ton Komatsu, the biggest ever brought onto the Iron Range, and Dan Kraker reported for Marketplace that people posing beside a single 13-foot tire were dwarfed by it. Most of the haul trucks working Minnesota’s other mines would fit inside its bed.

The truck arrived in a $110 million batch of equipment. It can pull power from electric trolley lines strung along the haul roads, which cuts fuel and doubles its climbing speed out of the pit. And it is set up to run without a driver, which is not the same as running without one. Mesabi says it will form a committee to work out how to deploy the technology, and switch it on as soon as it can.

So the mine bought driverless trucks before it produced an ounce of ore. When Marketplace visited, trucks were due to start work early this year and the mine was due to open fully by June. Mesabi Metallics now says production begins in the third quarter, which would make it the first new taconite operation on the Range in about half a century.

Sebnem Düzgün, a mining engineering professor at the Colorado School of Mines, told Marketplace that any mine designed from scratch today should be autonomous from day one, and that the worldwide record so far shows automation moving work around rather than deleting it. “It changes the nature of the job,” she said. Mines hire control-room operators and data analysts instead of drivers. The United Steelworkers, which represents the miners up there, is taking a wait-and-see position.

The self-driving car money already movedWatch where the Silicon Valley autonomy people went. Pronto, the off-road autonomy company founded by former Google and Uber engineer Anthony Levandowski, was acquired outright in April by Atoms, the physical-AI outfit Travis Kalanick has been building since he left Uber. Pronto became the core of a new division, Atoms Mining.

Its first deal afterward was with Mariana Minerals, putting Pronto’s camera-based haulage system on trucks at Copper One, a copper mine and refinery in southeastern Utah. The system works on other manufacturers’ trucks, and Pronto says it had already hauled more than two million tons at a single commercial site. Levandowski told International Mining that autonomous haulage “is a scalable production tool available today”, which is a pointed thing to say from a man who spent a decade chasing passenger cars.

Two of Uber’s best-known alumni, reunited, and the product is a dump truck. Rio Tinto’s driverless ore trains followed eleven years after the first driverless haul trucks, in 2019, for the same reason. Private right of way, and no strangers on it.

The cab is the tellStrip out the pedestrians, the cross traffic and the strangers, and autonomy stops being a research problem and becomes a purchase order. That option is not available to anyone building a robotaxi.

Which is why the American trucks still have cabs. The brochure for the 930E-5, the same truck family as the one Komatsu just commissioned in Nevada, lists a four-post ROPS cab, a fully adjustable driving position and an AM/FM/CD/MP3 radio, on a machine that spends its shift driving itself. The seat is there because the truck was drawn around a driver and automated afterward. Yimin’s truck has no cab, no seat and no radio, because nobody was ever going to sit in it.

Tesla, meanwhile, still keeps remote operators who can take direct control of a stuck robotaxi at low speed. The mine solved its version of this by owning the road and everything on it. Nobody has worked out how to buy Las Vegas.

?
Frequently asked questionsAI-assisted contextual content, generated to enrich your reading.

Which technologies enable autonomous haul truck operations in open-pit mines?Autonomous haulage systems combine LiDAR for 3D mapping, radar for obstacle detection, stereo cameras, high-precision GPS/RTK and inertial navigation units (IMU), all linked via private networks such as 5G. This sensor fusion provides centimetre-accurate positioning, continuous situational awareness and real-time communication between trucks and control centres.

How do mining operators manage safety and collision risks with driverless haul trucks?Operators use geofencing to enforce approved haul routes, deploy collision avoidance systems based on LiDAR and computer vision, and maintain remote monitoring centres with emergency-stop capabilities. Regular system validations and drills are conducted to ensure fail-safe responses in case of sensor or network faults.

What economic benefits do autonomous haul trucks offer compared to conventional trucks?Consistent driving profiles can cut fuel consumption by up to 10% through optimized acceleration, extend tyre and brake life by around 40% by eliminating human variability, and increase fleet utilization via continuous 24/7 operation, leading to double-digit reductions in total operating costs.

What training and workforce changes accompany the adoption of autonomous haulage systems?Mining companies implement training programs in remote operation, sensor maintenance and data analytics for over 100 personnel, following guidelines like those from the Global Mining Guidelines Group. Driver roles transition to control-centre operators, maintenance technicians, and data analysts who monitor performance and optimise system parameters.

How do battery-electric autonomous haul trucks differ from diesel-electric models in performance and maintenance?Battery-electric trucks can reduce greenhouse gas emissions by over 90% and cut operating costs by 40–62% due to higher drivetrain efficiency and regenerative braking. They often achieve up to 11% more uptime before maintenance but require charging or battery-swapping infrastructure and may face longer refuelling times compared to diesel units.

Which other manufacturers have autonomous haul truck programs, and what is the scale of their fleets?Caterpillar operates nearly 700 autonomous haul trucks worldwide, which have moved over 11 billion tonnes of material without a lost-time injury, and XCMG has deployed 100 fully electric, driverless haul trucks at the Huaneng Yimin mine, forming the largest autonomous electric fleet in operation.

[Smart_Asset] Employee count now 377 as of 7/8/2026. <<<<<<
Smart_Asset — 7/8/2026 12:20:50 PM
Employee count now 377 as of 7/8/2026.

<<<<<<<Ouster employee count up to 313 from 300 earlier in the year. Here are some openings. Looks to me like a growing company.>>

Employee count now 324 and institutional ownership just short of 61%..two good signs.>>

Employee count now 328.>>

Now 330....3 days hence...some reason for this which for now is unknown for me. I might quietly speculate.>>

Employee count now 335...appears they are still hiring.>>

Now 339...I don't think this includes Stereolabs and a Gemini search has them with approximately 50 so the actual number may be approaching 400. Stereolabs is French based so Euro defense contractors, infrastructure, and industrial are all in play there. Ouster already had significant revenues from the Euro zone.>>

Employee count now 343...still hiring.>>

Employee count now 348 with 29 job openings...>>>

359 with 27 job openings.>>

Now 370 with 25 job openings. I don't know if this includes the Stereolabs crew. 6/27/2026>>

[Smart_Asset] Some reasons to expand the existing DoD, DoT ban on Chinese LiDAR. cnbc.com

Smart_Asset — 7/7/2026 9:39:10 AM

[Smart_Asset] Too many articles to post them all but this one is science oriented rather than ...

Smart_Asset — 7/7/2026 1:13:10 AM

Too many articles to post them all but this one is science oriented rather than market oriented.

bgr.com

Science
This Breakthrough 3D Sensor Gives Robots True Human-Like Vision
By Daniel Trock July 6, 2026 12:47 pm EST

Cristi Mitu/Shutterstock
Robots, humanoid or otherwise, have been able to "see" for many years now. Similar to how you can use LiDAR on your iPhone, robots can make fairly accurate maps of their surroundings, seeing people and objects in relative clarity. However, until now, those maps were rendered in monochrome, a hurdle that kept robots from seeing the world the same way we do. That may have finally changed thanks to sensor developer Ouster, and its release of the new color-equipped Rev8 LiDAR sensor.

The Rev8 sensor is equipped with Ouster's latest technological developments in the Physical AI space, including the L4 Ouster Silicon chip, which doubles the range and resolution of its LiDAR. Moreover, the Rev8 features the world's first patented native color LiDAR sensor. With this sensor, robots can now see the world as humans do, parsing finer details like colored road signs or car brake lights. This can help make the robots safer to operate in a broader range of settings, which will be increasingly vital as robots continue to take over the human labor industry.

Ouster's Rev8 LiDAR can create elaborate color 3D maps

Ouster
The majority of autonomous sensor frameworks are either built around cameras, or a combination of systems like cameras, LiDAR, and algorithms. However, Ouster's Rev8 technically doesn't fall into either of those categories. Rather than trying to stitch together ambient color data from a camera view with positional data from a LiDAR, the Rev8 instead relies exclusively on its LiDAR.

The Rev8's LiDAR captures color data automatically alongside its regular 3D scans, so the colors of passing objects are baked into the maps the sensor creates, with no additional cameras or processing software required. Combined with the resolution and range improvements of the company's L4 chip, the Rev8 sensor can create full-color maps of its immediate surroundings with impressive clarity. Of course, it doesn't see the world exactly the same as a human eye does.

But for a 3D map created exclusively by a LiDAR sensor, its accuracy is notable, able to spot passing pedestrians and colored signs on a busy city street. Additionally, since the system is built around the single sensor, scans have a lower latency than hybrid systems and doesn't require an elaborate setup and calibration. With this improved capability, robots equipped with the Rev8 can better navigate the world around them. As well, the color data gathered while doing so could make major contributions to training the next generation of physical AI devices, including home robots that can solve everyday problems.

Read More: bgr.com

[Smart_Asset] Too Much Information re Ouster patents...miles and miles beyond my comprehension...

Smart_Asset — 7/5/2026 9:42:42 PM

Too Much Information re Ouster patents...miles and miles beyond my comprehension.

linkedin.com

[Smart_Asset] I don't know the details only that Northland is involved. Just guessing that th...

Smart_Asset — 7/4/2026 4:27:24 PM

I don't know the details only that Northland is involved. Just guessing that they are acquiring those share but maybe not.

<<So much in the financial markets of significance happens behind a curtain.>>

Unfortunately..

[waitwatchwander] Isn't all the selling of treasury stock being done ATM (At The Market)? They ma...

waitwatchwander — 7/4/2026 1:38:21 PM

Isn't all the selling of treasury stock being done ATM (At The Market)?

They may have started at $52 but that didn't last long and I doubt Northland hadn't previously built that into their positioning.

So much in the financial markets of significance happens behind a curtain.

Nature of the beast.

[Smart_Asset] Looks like Northland Securities is the underwriter for the stock offering. If t...

Smart_Asset — 7/4/2026 11:52:54 AM

Looks like Northland Securities is the underwriter for the stock offering. If that's the case a search gives the Northland target price for Ouster at $38 in May of this year. If that information is all correct then I would suspect Northland has gleaned information of some future Ouster contract of significance since they are buying at around $52 a share with an option to pick up and additional 500k + shares. Looking for back checkers...

[Smart_Asset] imho this is a really good move. Some will instinctively react negatively but 3...

Smart_Asset — 7/2/2026 8:27:30 AM

imho this is a really good move. Some will instinctively react negatively but 3,621,876 million shares takes Ouster to somewhere close to 63m shares which is still a relatively low number. In addition it will provide the company with something close to $200m in cash. In my judgement the company has been stellar in its money management to date so I see it as a positive.

I'd sort of like to the see the money go to an acquisition. They did very well with both the Velodyne merger and the Stereolabs acquisition. A small software company with some talented engineers would be a good fit.

finance.yahoo.com

SAN FRANCISCO, July 02, 2026--( BUSINESS WIRE)--Ouster, Inc. (Nasdaq: OUST) ("Ouster" or the "Company"), a leader in sensing and perception for Physical AI, today announced the pricing of an underwritten public offering of 3,621,876 shares of the Company's common stock (the "Offering"). The shares of common stock are being sold at a public offering price of $55.22 per share, before underwriting discounts and commissions. All of the shares in the Offering are being sold by the Company. The gross proceeds to Ouster from the Offering are expected to be approximately $200.0 million, before deducting underwriting discounts and commissions and other offering expenses. The Company has granted the underwriter of the Offering a 30-day option to purchase up to an additional 543,281 shares of common stock at the public offering price, less the underwriting discounts and commissions. The Offering is expected to close on or about July 6, 2026, subject to the satisfaction of customary closing conditions.

[Smart_Asset] Angus in the catbird's seat. This interview was likely done post the stock pric...

Smart_Asset — 7/1/2026 9:45:17 AM

Angus in the catbird's seat. This interview was likely done post the stock price run up and I can see that in his expression. Love the point cloud background.

Much of my belief in Ouster is based on my admiration for Angus. Over 100 patents says a lot. You don't get them on the golf course..:^)

x.com

[waitwatchwander] I'm lightening up here but I've only been nibbling and hope to retain a small op...

waitwatchwander — 6/30/2026 12:16:16 PM

I'm lightening up here but I've only been nibbling and hope to retain a small optionable position post all the current noise. This is similar to my playing with AEVA and somewhat with MVIS.

Lidar is coming around via waveguides but that's yet to be proven solid within a moving environment.

share.google

SPAD is another area of investment that interests me during this transitioning.

[Smart_Asset] Market cap now $4B. Is $5B in the cards? My position has been essentially stat...

Smart_Asset — 6/30/2026 11:09:38 AM

Market cap now $4B.

Is $5B in the cards?

My position has been essentially static less an RMD for several years. I spend a part of every day monitoring the company/sector/macro. No plans to sell in the immediate future. My implied answer as is my straight up answer is yes...could take some time.....or not.

Roth Capital has a $75 dollar target which would get them close.

[waitwatchwander] Market cap now $4B. Is $5B in the cards?

waitwatchwander — 6/30/2026 11:00:25 AM

[Smart_Asset] fwiw I believe Ouster has entered my definition of Wall Street meme status which...

Smart_Asset — 6/30/2026 10:28:31 AM

fwiw I believe Ouster has entered my definition of Wall Street meme status which is just short of my definition of Wall Street darling status. I visit a multitude of websites devoted to stocks and bonds. When I first bought Ouster shares finding mention of the company was a deep dive. Now every click bait stock site is running Ouster articles on a regular basis.

It would be nice to level up from here...insert emoji of your choice

[Smart_Asset] Ouster the top gainer on yahoo finance at +28.68% finance.yahoo.com Congratula...

Smart_Asset — 6/29/2026 6:12:17 PM

Ouster the top gainer on yahoo finance at +28.68%

finance.yahoo.com

Congratulations to holders.

[Smart_Asset] <<<<<<
Smart_Asset — 6/27/2026 9:07:44 AM
<<<<<<<Ouster employee count up to 313 from 300 earlier in the year. Here are some openings. Looks to me like a growing company.>>

Employee count now 324 and institutional ownership just short of 61%..two good signs.>>

Employee count now 328.>>

Now 330....3 days hence...some reason for this which for now is unknown for me. I might quietly speculate.>>

Employee count now 335...appears they are still hiring.>>

Now 339...I don't think this includes Stereolabs and a Gemini search has them with approximately 50 so the actual number may be approaching 400. Stereolabs is French based so Euro defense contractors, infrastructure, and industrial are all in play there. Ouster already had significant revenues from the Euro zone.>>

Employee count now 343...still hiring.>>

Employee count now 348 with 29 job openings...>>>

359 with 27 job openings.>>

Now 370 with 25 job openings. I don't know if this includes the Stereolabs crew. 6/27/2026

[waitwatchwander] Given Ouster's acquisitiveness there has to be insiders looking to cash out. I ...

waitwatchwander — 6/26/2026 8:07:22 PM

Given Ouster's acquisitiveness there has to be insiders looking to cash out.

I only wish I thought about this before the current run ended. Oh well.

[Smart_Asset] I disagree with Jimmy(runs money?) that this is their first notable public appea...

Smart_Asset — 6/26/2026 2:02:38 PM

I disagree with Jimmy(runs money?) that this is their first notable public appearance since the SPAC. Other than that valuable info re the company outlook going forward. Jimmy took extensive notes..

The post had 170 likes on X...couldn't read the 10 replies...no X account.

x.com

@jimmyrunsmoney

<<Last night, I attended @ousterlidar ‘s rev8 tech talk, their first notable public appearance since their $OUST SPAC IPO. Here are some things I learned:

1. Expect them to be more vocal about partnerships and new client wins, NDA/stealth mode is over. I suspect there also has been a change in the legal terms surrounding this disclosure with the rev8 iteration

2. Ouster has been learning a lot about working with the department of war to secure military contracts, since their BlueUAS approval. They have ongoing talks with Army, Navy, Airforce, etc, the sales team has been busy traveling, and obtaining security clearance and speaking the language is important.

3. Im incredibly bullish on their drone partnerships- I expect a proliferation of drones not just for surveillance, but increasingly for counterUAS (Argus) and increasingly in drone vs drone warfare. Recall that there are ethical complications for targeting people, but drone vs drone warfare is already here. $OUST is working with Anduril, Rheinmetall, and every country is already looking to see how they can deploy a combination of drones and humanoids to decrease human operators. The LTV of supporting a US marine is well in excess of $1M. Forget exoskeletons, save money and heartbreak with robots.

4. The developer community is growing and they have a nice GitHub resource center- they are willing to work with startups for full turn key solutions, and also agree to let the companies own the data, which is super important in some fields where there are privacy concerns. In other places, their entire SDK is open source and we should expect more communal data and premade onboarding tools to reduce the friction to “hello world”.

5. I continue to see their biggest bottleneck as the lack of qualified lidar engineer operators at the client level to handle larger Fortune 500 company deployments. This will ease over time as the sector and technology grows. The reason why ITS has been so successful is that there is an embedded group of nerds and engineers who work on behalf of the DoTs and can onboard and retrofit legacy camera solutions. This is massively profitable and I love the SaaS/r&m/long term sticky contracts with good margins.

6. Right now for retail/security usage, their customers are still learning about the technology and it’s about getting in front of the right people with the right narrative and vision, vs geeking out on hardware. Here I think rev8 makes the biggest difference, as native color is an emotional and foundational light switch in front of an investment committee. It’s easy for ppl to now see the vision of what Ouster can do.

7. A lot of speculation about insider sales, most notably from Mark Frichtl the CTO. He was absent at the event, which I found notable, but I maintain that the preplanned sales we now see from recent 144 filings from him, Cyrille and others represents a 2025 year where many long time insiders finally broke even and achieve some type of meaningful liquidity event. SF is not a cheap place to live!

8. The event was 1/3 ouster employees, some developers and prospects (I spoke to someone from $TMUS ) who has been talking to Ouster. Unfortunately I was probably one of 3-4 investors, so for what it’s worth the company is still in stealth mode from a capital markets visibility standpoint. Probably better that they don’t know how excited and bullish the retail community is on their story.

9. $HSAI and the Chinese competitors will remain in auto, where the multinationals have to play nice with China. Increasingly outside of auto, there is a bigger geopolitical push for secure supply chains and made in America. Compared to last year when more customers were in startup mode, I think as they achieve scale and think about volume $OUST is a no brainer. There is a reason why we haven’t seen $MVIS, $AEVA, or $INVZ will real sales volumes- you can’t trick people into buying an inferior lidar product!

10. Physical AI is here to stay. I’m LONG
3:34 PM · May 28, 2026 54.2KViews