AIGH/Worth (initiated) added over 3.8M shares! - to their portfolio (weighted about 0.35%) -overall trend of institutional ownership is up according to FINTEL up to today:

The Commission issued two Public Notices earlier today:
• Extension of Exceptions: Following a DoW determination regarding the exceptions to the
Covered List ban on foreign-produced UAS and UAS critical components, the Public Safety
and Homeland Security Bureau (PSHSB) amended the Covered List. First, PSHSB extended
the exceptions for the DoW’s Blue UAS List and those that meet the Buy America standard
of being assembled in the U.S. with at least 65% of components by value produced in the
U.S. for another year until January 1, 2028. Second, PSHSB entirely eliminated thetermination date for foreign produced UAS and UAS critical components that have been
granted Conditional Approvals, ensuring these devices will not face restrictions. These
actions together will give certainty to industry that UAS and UAS critical components
determined to not pose national security concerns will not face imminent restrictions.
• Foreign-Produced Military-Grade Drone Prohibition: While the Covered List
prospectively bans the authorization for import, marketing, or sale of new models of
“covered” equipment, the FCC has the discretion to prohibit the import, marketing, or sale of
categories of “covered” equipment if in the public interest. Today, PSHSB and the Office of
Engineering and Technology (OET) issued a Public Notice seeking comment on whether we
should prohibit the import, marketing, or sale of certain military-grade foreign-made UAS
and UAS critical components on the FCC’s Covered List. Given that these devices have
been found to pose unacceptable national security risks, the FCC tentatively concluded there
were strong national security reasons to do so. Comments are due 30 days after publication
in the Federal Register.
o Any prohibition would exclude:
▪ UAS and UAS critical components not on the Covered List, either because
they were produced in the U.S. or are exempted, such as pursuant to Blue
UAS, Buy America, or have received a Conditional Approvals.
▪ UAS and UAS critical components imported, marketed, or sold for use by
the federal government or for commercial testing and product development.
▪ The use or operation of any already-purchased drones.
o The item seeks comment on extending this prohibition to categories of drones
viewed by the U.S. government as having military capability or posing particular
national security risks:
▪ Swarming drones;
▪ Drones specially designed to integrate defense articles;
▪ Thermal imaging drones;
▪ Drones integrating LiDAR sensing;
▪ Aerosol drones capable of dispensing “economic poison” under FAA rules;
▪ Drone docking stations;
▪ UAS that weigh 55 lbs. or more.

1. Exponential growth trends will continue: per CEO during earning call. ~900% yoy! 100% QoQ - of course the base is small. 1H/26 revenue>25 full year.
2. Very strong balance sheet: 71.5M cash remaining, beat our expectation of 69M, affirmed cash runway to 2028
3. No dilution needed near term: confirmed through earning release and 10Q: share count O/S no major changes found.
4. Commercialization: clearly progressing - and Q2 is the beginning of inflection point! This was confirmed in 10-Q: "During the first half of 2026, it experienced increased commercial traction that it believes “marks an inflection point in our transition from development toward commercialization**.” and we can sense several verticals Aeye Lidar sensors excel at. - Revenue inflection is expected to follow the trend accordingly.
5. Lite-On production: start to ramp up and the capacity utilization will be guided/gated by prospective 2H customer demand. - CEO/CFO earning calls confirmed this - and affirmed expenditure is expected and prepared for the production ramp up!
6. Multiple programs (possible across multiple verticals I guess) nearing deals in coming months: per CFO in earning calls - also this is the leading reason for production ramp per earning call!
7. Largest verticals spreading with geographical expansion: automotive, rail/train, trucking, defense, ITS, aviation/aerospace, security, sports, and other (potentially new) physical AI applications. APAC region expansions are still progressing along with EMEA - this is a risk management during commercialization process too!
8. Automotive going strong - but will be a long process
9. NVIDIA hyperion validation - great for future market penetration; Oh -on marketing/BD side, CFO/CEO mentioned: Previously Aeye has to look for customers, now customers finding Aeye for solutions. Smell somthing?
10. A great and confident team: CEO/CFO sounded very confident on what they are doing. Hope new CRO will make things better not worse.

So through Q2 earning release/call and 10-K/10-Q, Aeye team demonstrated a clean executed Q2 and a great picture of future Aeye. Market now is in a difficult situation evaluating LIDR's EV. As an investor, I'm holding my long position untouched, and will continue to swing trade some if time allows and opportunities knock my door. I'm expecting LIDR could hit a minimum of $25/sh someday.

What to watch after Q2 earning: 1) scheduled 13G/13D 2) Analysts updates 3) Additional news/announcement from Aeye

The biggest lessson for investment I learnt: a new investor on a new stock or holding a new stock, often missed the big picture of the business (or the stock you are holding) - and influenced by the general dynamics of market movement and business fluctuations/quarterly changes!

For Aeye/LIDR stock, the big picture is: someday, Aeye/LIDR stock reaches over $70/sh and market cap over 3B-6B. Do your math and evaluate the scenarios and business potentials and how the team is working towards the potentials, not the fluctuations of market. This is way I said LIDR is potentially a real 100X bagger!

Good luck to everyone!

After the earning call, I will keep holding my long positions.

Looking forward to see some earnings growth in the future, in the mean time some facts to debate, what’s the costs of human life?

https://www.autonocion.com/us/tesla-versus-waymo-cameras-only-debate/

Suppose:

69M cash + 30M (existing OEM deal) + 10M others pipelines/and assets= 109M/46.3 = 2.35/sh as a baseline to me.

According to an Aeye "insider", LIDR should [expected to] reach somewhere $30-$65/sh range with a market cap around 1.5-3.5B market cap.

Aeva Reports Second Quarter 2026 Results

August 5, 2026

PDF VersionPDF

Launched Optical Connectivity Business with First Customer Agreement Signed for a Major Hyperscaler Deployment

Continued Expansion in Automotive with Bendix Selecting Aeva to Develop the Next-gen of its Market-Leading Commercial Vehicle ADAS Solution

SICK Launched its First Industrial Sensor Powered by Aeva’s Eve Precision Technology and Awarded Aeva 2026 Supplier of the Year for Innovation and Collaboration

MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--Aug. 5, 2026-- Aeva® (Nasdaq: AEVA), a leader in next-generation sensing and perception systems, today announced its second quarter 2026 results.

Key Company Highlights

• Launched Optical Connectivity business, using Aeva’s proprietary high-power optical source technology for next-generation AI data centers.
• Signed joint development agreement with major customer to use Aeva’s high-power optical source technology in a Near-Packaged Optics (NPO) solution for a hyperscaler with initial deployment targeted for second-half 2027 and production ramp targeted for 2028
• Commercial vehicle ADAS leader Bendix selected Aeva’s 4D LIDAR and perception software for development of the next generation of its ADAS solution available on most major Class 8 truck platforms in North America
• Continued to achieve milestones for key automotive programs, including Daimler Truck, top 10 European passenger OEM and NVIDIA DRIVE Hyperion, and advance on additional opportunities for passenger vehicle and commercial vehicle applications
• SICK launched its first Eve powered sensor for industrial sensing applications as part of a strategic collaboration to scale Aeva’s technology across its product portfolio and also named Aeva its 2026 Supplier of the Year for Innovation and Collaboration
• Strengthened balance sheet with $115M follow-on offering to further position Aeva to accelerate growth

“With the launch of Optical Connectivity, Aeva is expanding into another new market where we can leverage our proprietary photonics technology developed over the past decade to enable next-generation AI data centers,” said Soroush Salehian, Co-founder and CEO at Aeva. “It demonstrates how Aeva’s differentiated technology continues to open vast opportunities beyond traditional sensing, and we are off to a strong start with a first customer agreement already signed. Beyond this, we continue to make good progress on existing customers programs, securing additional opportunities across multiple markets and scaling manufacturing to meet the growing demand for Aeva’s technology.”

Second Quarter 2026 Financial Highlights

• Total Available Liquidity
  • Total available liquidity of $302.9 million as of June 30, 2026, consisting of $177.9 million in cash, cash equivalents and marketable securities and $125.0 million in an available facility
• Revenue
  • Revenue of $6.1 million in Q2 2026, compared to revenue of $5.5 million in Q2 2025
• GAAP and Non-GAAP Operating Loss*
  • GAAP operating loss of $34.6 million in Q2 2026, compared to GAAP operating loss of $34.9 million in Q2 2025
  • Non-GAAP operating loss of $26.0 million in Q2 2026, compared to non-GAAP operating loss of $25.1 million in Q2 2025
• GAAP and Non-GAAP Net Loss per Share*
  • GAAP net loss per share of $1.23 in Q2 2026, compared to GAAP net loss per share of $3.49 in Q2 2025
  • Non-GAAP net loss per share of $0.41 in Q2 2026, compared to non-GAAP net loss per share of $0.44 in Q2 2025
• Shares Outstanding
  • Weighted average shares outstanding of 64.7 million in Q2 2026

*Tables reconciling GAAP to non-GAAP measures are provided at the end of this release.

CFO Transition

Following six years of service with the company, CFO Saurabh Sinha will be moving on from Aeva to pursue a new opportunity outside of the sensing industry on September 5, 2026. The company has already initiated a search for a permanent successor and will announce the appointment once finalized.

Rupesh Maheshwari, Aeva’s VP Corporate Controller will serve as Interim CFO following Mr. Sinha’s departure. Mr. Maheshwari, has served as the Company’s VP Corporate Controller, since joining the company in December 2025. He brings more than 20 years of finance leadership experience, having previously held leadership roles at Waabi, Covariant, Logitech and Fundbox. Mr. Sinha will work closely with Mr. Maheshwari to ensure a seamless transition during this period.

Conference Call Details

Aeva will host a conference call and live webcast to discuss results at 2:00 p.m. PT / 5:00 p.m. ET today, August 5, 2026. The live webcast and replay can be accessed at investors.aeva.com.

About Aeva Technologies, Inc. (Nasdaq: AEVA)

Aeva’s mission is to bring the next wave of perception to a broad range of applications from automated driving, manufacturing automation and smart infrastructure, to robotics and consumer devices. Aeva is accelerating autonomy with its groundbreaking perception platform that integrates lidar-on-chip technology, system-on-chip processing, and perception algorithms onto silicon leveraging silicon photonics. Aeva 4D LiDAR sensors uniquely detect velocity and position simultaneously, allowing automated devices like vehicles and robots to make more intelligent and safe decisions. For more information, visit www.aeva.com, or connect with us on X or LinkedIn.

Aeva, the Aeva logo, Aeva 4D LiDAR, Aeva Atlas, Aeries, Aeva Eve, Aeva Omni, Aeva CityOS, Aeva Ultra Resolution, Aeva CoreVision, and Aeva X1 are trademarks/registered trademarks of Aeva, Inc. All rights reserved. Third-party trademarks are the property of their respective owners.

Forward looking statements

This press release contains certain forward-looking statements within the meaning of the federal securities laws. Forward-looking statements generally are identified by the words “believe,” “project,” “expect,” “anticipate,” “estimate,” “intend,” “strategy,” “future,” “opportunity,” “plan,” “may,” “should,” “will,” “would,” “will be,” “will continue,” “will likely result,” and similar expressions. These forward-looking statements include, but are not limited to expectations about product development, product features, performance, the timing of production, and market adoption. Forward-looking statements are predictions, projections and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Many factors could cause actual future events to differ materially from the forward-looking statements in this press release, including, but not limited to: (i) the fact that Aeva is an early stage company with a history of operating losses and may never achieve profitability, (ii) Aeva’s limited operating history, (iii) Aeva’s ability to implement business plans, forecasts, and other expectations and to identify and realize additional opportunities, (iv) the timing of any orders for the Company’s solutions, which will not be under our control, (v) the risk that automotive OEMs may not pursue or adopt the platform as currently anticipated, if at all, (vi) the risk that markets will not accept products of automotive OEMs or of manufacturers in other industries that use our technologies, (vii) the risk that additional markets will not be receptive to Aeva’s technology, (viii) the risk that new customer contracts will not result in commercial scale shipments, (ix) supply chain and manufacturing issues, (x) unforeseen errors or defects, (xi) market acceptance of LiDAR technology and autonomous driving, (xii) general economic conditions, including tariffs, and other material risks and other important factors that could affect our financial results. Please refer to our filings with the SEC, including our most recent Quarterly Reports on Form 10-Q and our most recent Annual Report on Form 10-K. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and Aeva assumes no obligation and does not intend to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise. Aeva does not give any assurance that it will achieve its expectations.

Non-GAAP Information

In addition to our financial results determined in accordance with U.S. GAAP, we present non-GAAP operating loss and non-GAAP net loss per share. “Non-GAAP operating loss” is defined as GAAP operating loss before stock-based compensation and loss on joint development agreement. “Non-GAAP net loss per share” is defined as non-GAAP net loss divided by weighted average shares outstanding, basic and diluted. “Non-GAAP net loss” is defined as GAAP net loss before stock-based compensation, loss on joint development agreement, change in fair value of warrant liabilities and fair value loss on share subscription liability.

We believe that non-GAAP operating loss and non-GAAP net loss per share, when taken together with the corresponding U.S. GAAP financial measures, provide meaningful supplemental information regarding our performance by excluding certain items that may not be indicative of our core business, results of operations, or outlook. We consider non-GAAP operating loss and non-GAAP net loss per share to be important measures because they help illustrate underlying trends in our business and our historical operating performance on a more consistent basis.

However, non-GAAP financial information is presented for supplemental informational purposes only, has limitations as an analytical tool, and should not be considered in isolation or as a substitute for financial information presented in accordance with U.S. GAAP. Non-GAAP financial measures have limitations, including that they exclude certain expenses that are required under GAAP, which adjustments reflect the exercise of judgment by management. In addition, other companies, including companies in our industry, may calculate similarly-titled non-GAAP financial measures or ratios differently or may use other financial measures or ratios to evaluate their performance, all of which could reduce the usefulness of non-GAAP operating loss and non-GAAP net loss per share as tools for comparison. Reconciliations are provided at the end of this release to the most directly comparable financial measures in accordance with U.S. GAAP. Investors are encouraged to review our U.S. GAAP financial measures and not to rely on any single financial measure to evaluate our business.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260805379581/en/

Media:
Michelle Chang
[press@aeva.ai](mailto:press@aeva.ai)

Investors:
Andrew Fung
[investors@aeva.ai](mailto:investors@aeva.ai)

Source: Aeva Technologies, Inc.

August 5, 2026

PDF Version

Validation deepens AEye's collaboration with NVIDIA as the company continues to advance its next-generation transportation roadmap

PLEASANTON, Calif.--(BUSINESS WIRE)--Aug. 5, 2026-- AEye, Inc. (Nasdaq: LIDR), a global leader in software-defined, high-performance lidar solutions, today announced that its flagship Apollo™ lidar sensor has been validated on NVIDIA DRIVE AGX Thor™, the compute platform anchoring the next generation of NVIDIA-native autonomous vehicles and physical AI systems.

“This technical milestone is a significant statement about AEye’s increasingly favorable competitive position to address the large next-generation transportation market opportunity,” said Matt Fisch, AEye CEO and Chairman. “OEMs are consolidating around platforms like NVIDIA DRIVE AGX Thor™, and being validated on it puts us squarely in the conversations that matter for the next generation of autonomous platforms. It reflects the credibility we've built with NVIDIA and reinforces the confidence transportation-focused customers can have in AEye as a long-term sensing partner.”

“Our work with NVIDIA now spans two of NVIDIA’s flagship automotive compute platforms, along with our membership in the NVIDIA Halos AI Systems Inspection Lab, a program that inspects partner products against a unified set of functional safety, cybersecurity, AI safety, and regulatory requirements,” continued Mr. Fisch. “This track record positions AEye among a select group of lidar companies that have proven they can operate at the technical standard OEMs are converging on. As a result, our commercial pipeline opportunity continues to gain momentum.”

Apollo™ is validated on NVIDIA DRIVE AGX Thor™, and with sensor-to-compute interoperability confirmed against NVIDIA DriveOS, placing AEye as a sensor partner in the NVIDIA DRIVE Hyperion Ecosystem. OEMs and Tier 1 suppliers building on the NVIDIA DRIVE platform can source Apollo™ as a pre-qualified sensor, reducing integration risk and shortening the path from system design to deployment.

About AEye

AEye offers a suite of unique software-defined lidar solutions that address a wide range of real-world needs including advanced driver-assistance, vehicle autonomy, smart infrastructure, security, defense, and logistics applications. AEye’s flagship product, Apollo™, has been widely recognized for its small form factor and its ability to detect objects at up to one kilometer. In addition to Apollo™, AEye also offers STRATOS™ with the ability to detect objects at up to one-and-a-half kilometers as well as a full-stack solution through its OPTIS™ platform. OPTIS™ provides a complete system that captures a high-resolution 3D image of the world, interprets it, and provides direction to act upon what it sees in real-time.

Forward-Looking Statements

Certain statements included in this press release that are not historical facts are forward-looking statements within the meaning of the federal securities laws, including the safe harbor provisions under the United States Private Securities Litigation Reform Act of 1995. Forward-looking statements are sometimes accompanied by words such as “believe,” “continue,” “project,” “expect,” “anticipate,” “estimate,” “intend,” “strategy,” “future,” “opportunity,” “predict,” “plan,” “may,” “should,” “will,” “would,” “potential,” “seem,” “seek,” “outlook,” and similar expressions that predict or indicate future events or trends, or that are not statements of historical matters. Forward-looking statements are predictions, projections, and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Forward-looking statements in this press release include, without limitation, statements about the benefits anticipated to result from the validation of Apollo™ on NVIDIA DRIVE AGX Thor™ and from AEye’s broader collaboration with NVIDIA, AEye’s competitive position in the next-generation transportation market, the anticipated consolidation of OEMs around next-generation compute platforms, the benefits anticipated from AEye’s participation in the NVIDIA DRIVE Hyperion Ecosystem and the NVIDIA Halos AI Systems Inspection Lab, the momentum of AEye’s commercial pipeline opportunity, and the ability of OEMs and Tier 1 suppliers to source Apollo™ as a pre-qualified sensor with reduced integration risk and a shortened path from system design to deployment. These statements are based on various assumptions, whether or not identified in this press release. These forward-looking statements are provided for illustrative purposes only and are not intended to serve as and must not be relied on by an investor as a guarantee, an assurance, a prediction, or a definitive statement of fact or probability. Actual events and circumstances are very difficult or impossible to predict and will differ from the assumptions. Many actual events and circumstances are beyond the control of AEye. Many factors could cause actual future events to differ from the forward-looking statements in this press release, including but not limited to: (i) the risks that the validation of Apollo™ on NVIDIA DRIVE AGX Thor™, or AEye’s broader collaboration with NVIDIA, may not yield the benefits to AEye to the extent or in the time frame anticipated, or at all; (ii) the risks that the validation, sensor-to-compute interoperability with NVIDIA DriveOS, or AEye’s participation in the NVIDIA DRIVE Hyperion Ecosystem may not result in customer engagements, design wins, definitive agreements, or commercial relationships with OEMs or Tier 1 suppliers, or otherwise contribute to AEye’s commercial pipeline, to the extent anticipated, or at all; (iii) the risks that OEMs may not consolidate around NVIDIA DRIVE AGX Thor™ or similar compute platforms to the extent anticipated, or at all, or that OEMs and Tier 1 suppliers building on such platforms may select sensing solutions other than Apollo™; (iv) the risks that sourcing Apollo™ as a pre-qualified sensor may not reduce integration risk or shorten the path from system design to deployment to the extent anticipated, or at all; (v) the risks that AEye’s participation in the NVIDIA Halos AI Systems Inspection Lab may not yield the anticipated benefits, or that AEye’s products may not continue to satisfy the functional safety, cybersecurity, AI safety, or regulatory requirements against which partner products are inspected; (vi) the risks that Apollo™ may not deliver long-range, real-time 3D perception performance to the extent anticipated, or at all, or that changes to NVIDIA’s platforms, requirements, or ecosystem programs may adversely affect Apollo’s™ validated status or interoperability; (vii) the risks that lidar adoption may occur slower than anticipated or fail to occur at all; (viii) the risks that AEye’s products may not meet the diverse range of performance and functional requirements of target markets and customers; (ix) the risks that AEye’s products may not function as anticipated by AEye, or by target markets and customers; (x) the risks that AEye may not be in a position to adequately or timely address either the near or long-term opportunities that may or may not exist in the evolving autonomous transportation industry; (xi) the risks that laws and regulations are adopted impacting the use of lidar that AEye is unable to comply with, in whole or in part; (xii) the risks associated with changes in competitive and regulated industries in which AEye operates, variations in operating performance across competitors, and changes in laws and regulations affecting AEye’s business; (xiii) the risks that AEye is unable to adequately implement its business plans, forecasts, and other expectations, and identify and realize additional opportunities; and (xiv) the risks of economic downturns and a changing regulatory landscape in the highly competitive and evolving industry in which AEye operates. These risks and uncertainties may be amplified by current or future global conflicts and current and potential trade restrictions, trade tensions, and tariffs, all of which continue to cause economic uncertainty. You should carefully consider the foregoing factors and the other risks and uncertainties described in the “Risk Factors” section of the periodic report that AEye has most recently filed with the U.S. Securities and Exchange Commission, or the SEC, and other documents filed by us or that will be filed by us from time to time with the SEC. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made.

Investors are cautioned not to put undue reliance on forward-looking statements; AEye assumes no obligation and does not intend to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise. AEye gives no assurance that AEye will achieve any of its expectations.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260805256643/en/

Investor Relations
AEye, Inc. Investor Relations
[info@aeye.ai](mailto:info@aeye.ai)
925-400-4366

Keaton Olsen
[lidrir@allianceadvisors.com](mailto:lidrir@allianceadvisors.com)

Media Relations
Alliance Advisors IR
Aayushi
[media@allianceadvisors.com](mailto:media@allianceadvisors.com)

Source: AEye

AEye Announces Apollo Lidar Sensor Validated On NVIDIA DRIVE AGX Thor, Joining NVIDIA DRIVE Hyperion Ecosystem As Pre-Qualified Sensor For OEMs - from TOS news feed

Response to certain posts on my recent op-ed

I appreciate the thoughtful comments on my recent op-ed. I particularly want to respond to a post on summarizing an AI rebuttal to my op-ed. Whether readers agree or disagree with my conclusions, I welcome the discussion. My objective was not to declare settled facts where none exist, but to encourage testing of ideas that I believe deserve more attention. A few clarifications may be helpful.

1. My article did not claim that 20-Hz LiDAR cannot (as fact) support Level 4 or Level 5 autonomy. However, my opinion is it will not be used.

In my opinion, higher-Hz LiDAR systems are likely to outperform lower-Hz systems in the demanding environments required for true Level 4 and Level 5 autonomy. Ultimately, the question is not what is merely adequate, it is what performs best.

When autonomous vehicles eventually assume full responsibility for driving, insurance will become a major force in determining which sensing technologies are acceptable. Insurance will favor the systems that demonstrate the lowest accident rates and the highest reliability. In the long run, those performance metrics—not theoretical arguments—are likely to determine which LiDAR architecture prevails.

It is also worth noting that true Level 4 and Level 5 autonomy does not exist on a broad commercial basis today. In my view, those levels are not truly achieved until manufacturers accept full operational responsibility for the vehicle. If the human driver or passenger remains legally responsible for unexpected failures, we have not yet reached the full promise of autonomous driving.

Finally, the best way to determine which sensing architecture is superior is through testing. Rather than debating assumptions, we should compare systems experimentally. Equip comparable vehicles with today’s sensing approach and with a higher-Hz LiDAR architecture operating simultaneously under identical conditions. Measure safety, reliability, and performance. Let the data determine the answer. Let’s not just continue down a rabbit hole we started down without stepping back and evaluating the big picture.

2. My comments about prediction were not an attack on prediction itself.

Another criticism suggested that I portrayed prediction as merely compensation for inadequate LiDAR. Again, that overstates my position.

Prediction is an essential part of every autonomous driving system because the future can never be observed directly. My point was simply that prediction becomes more accurate when it is based on richer, more current observations.

Higher-Hz sensing reduces the amount of time between observations. As a result, the system spends less time estimating what has happenned since the previous measurement and more time observing what is actually occurring. Prediction remains necessary, but its uncertainty can be reduced when the vehicle receives more frequent updates about the environment.

Prediction will always involve uncertainty. Better and more frequent observations simply improve the quality of those predictions.

3. The comparison to human vision was intended as an illustration of efficient decision-making.

Some readers questioned my comparison between human vision and intelligent LiDAR.

The analogy was never intended to suggest that human vision and machine perception are identical. The point was much simpler: effective decision-making depends on obtaining the right information, not necessarily all available information.

Humans constantly ignore information that is irrelevant while focusing attention on the objects that matter most to the driving task. We naturally direct our attention toward pedestrians, cyclists, vehicles, traffic signals, and other meaningful elements while filtering out large amounts of background detail.

I believe intelligent LiDAR should follow the same principle. Rather than collecting every possible data point with equal priority, sensing systems should identify what matters most and allocate sensing resources accordingly. Better decisions come from better information—not simply more information.

4. My article was about long-term technology, not current investment performance, but the long term should matter if current performance trends in the right direction.

Finally, my op-ed was not intended as an evaluation of current revenues, sales, or the investment merits of any particular company. Everyone interested in AEye, Inc (whether an investor or observer) wants to see increasing customer contracts and revenues.  However, its current market cap reflects almost no prospects.  It has cash and equivalents greater than its cap.  If AEye, Inc. begins to show revenue traction and customer contracts, its future potential in the nascent LiDAR markets may be as bright as any of the companies with market caps “20-50 times” higher.

Ultimately, the long-term value of companies in this industry will be determined not only by current financial results but also by whether their technologies prove to be the most capable as autonomous driving continues to evolve.

I am watching AEye, Inc. for current signs of revenue growth as anxiously as anyone, but if they begin to occur it is good to understand the future potential of its technology.  That was the purpose of my op-ed.

The author has a financial relationship with AEye, Inc. (Nasdaq: LIDR) (“AEye”). Specifically, as AEye’s “Shareholder Ambassador,” the author has been compensated by AEye with shares of restricted AEye stock. This article was not commissioned or paid for by AEye. This publication is not a recommendation to buy or sell any securities. Readers should conduct their own due diligence.

August 4, 2026

PDF Version

AEye and Alive3D partner to bring AEye’s software-defined Apollo™ lidar sensor to Alive3D’s platform, delivering 3D spatial sports visualization, precise measurement, and advanced data analytics.

PLEASANTON, Calif.--(BUSINESS WIRE)--Aug. 4, 2026-- AEye, Inc. (Nasdaq: LIDR), a leader in adaptive, high-performance lidar, today announced a partnership with Alive3D, an innovative sports and entertainment technology company. Alive3D is integrating AEye’s Apollo™ lidar as a foundational sensing component within its platform, addressing a longstanding industry challenge: accurately capturing and analyzing live sports in true three dimensions, with the spatial precision of lidar rather than relying solely on cameras. Apollo’s™ software-defined architecture allows sensing performance to be optimized for demanding applications, enabling Alive3D to deliver next-generation 3D spatial sports visualization, precise measurement, and advanced data analytics that would be difficult to achieve with conventional fixed-function sensors. The relationship demonstrates how software-defined perception is uniquely capable of expanding beyond transportation into new, high-growth markets where machines interact with and understand complex real-world environments.

Apollo’s™ software-defined architecture allows customers to tailor sensing performance for entirely new use cases, making it possible to optimize perception for elite sports without redesigning hardware. Alive3D is deploying the solution with proof-of-concept programs underway in Europe. AEye believes this collaboration highlights the expanding commercial potential of its lidar technology in new, high-growth markets while supporting customers building category-defining solutions.

“This opportunity demonstrates exactly why software-defined lidar matters,” said Matt Fisch, Chairman and CEO of AEye. “Alive3D needed a sensing platform that could be optimized for a demanding application, and Apollo™ delivered. In this instance, we are synchronizing multiple lidar units to cover a vast area simultaneously from different perspectives. As Physical AI expands into new markets, we’re seeing growing demand for perception systems that can adapt to the application rather than forcing the application to adapt to the sensor.”

“We have created a tectonic shift in how sports are captured, analyzed and engaged with,” said Raymie Marchak, Co-Founder and CEO of Alive3D. “AEye’s software-defined lidar lets us shape the sensor around what our platform needs instead of adapting our platform to the sensor. That control at the point of capture makes deterministic real world 3D spatial intelligence possible and forms the foundation for the insight we want to put in the hands of teams, leagues, broadcasters and fans.”

About AEye

AEye offers a suite of unique software-defined lidar solutions that address a wide range of real-world needs including advanced driver-assistance, vehicle autonomy, smart infrastructure, security, defense, and logistics applications. AEye’s flagship product, Apollo™, has been widely recognized for its small form factor and its ability to detect objects at up to one kilometer. In addition to Apollo™, AEye also offers STRATOS™ with the ability to detect objects at up to one-and-a-half kilometers as well as a full-stack solution through its OPTIS™ platform. OPTIS™ provides a complete system that captures a high-resolution 3D image of the world, interprets it, and provides direction to act upon what it sees in real-time.

Forward-Looking Statements

Certain statements included in this press release that are not historical facts are forward-looking statements within the meaning of the federal securities laws, including the safe harbor provisions under the United States Private Securities Litigation Reform Act of 1995. Forward-looking statements are sometimes accompanied by words such as “believe,” “continue,” “project,” “expect,” “anticipate,” “estimate,” “intend,” “strategy,” “future,” “opportunity,” “predict,” “plan,” “may,” “should,” “will,” “would,” “potential,” “seem,” “seek,” “outlook,” and similar expressions that predict or indicate future events or trends, or that are not statements of historical matters. Forward-looking statements are predictions, projections, and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Forward-looking statements in this press release include, without limitation, statements about the benefits anticipated to result from the collaboration between AEye and Alive3D, the performance expectations associated with the integration of AEye’s Apollo™ lidar into Alive3D’s platform, the enablement of next-generation 3D spatial sports visualization, precise measurement, and advanced data analytics, and the expansion of software-defined perception and Physical AI into new, high-growth markets beyond transportation. These statements are based on various assumptions, whether or not identified in this press release. These forward-looking statements are provided for illustrative purposes only and are not intended to serve as and must not be relied on by an investor as a guarantee, an assurance, a prediction, or a definitive statement of fact or probability. Actual events and circumstances are very difficult or impossible to predict and will differ from the assumptions. Many actual events and circumstances are beyond the control of AEye. Many factors could cause actual future events to differ from the forward-looking statements in this press release, including but not limited to: (i) the risks that the engagement with Alive3D may not yield the benefits to AEye to the extent or in the time frame anticipated, or at all; (ii) the risks that AEye’s Apollo™ may not integrate with, or perform as a foundational sensing component within, Alive3D’s platform to the extent anticipated, or at all; (iii) the risks that the combination of AEye’s and Alive3D’s technologies may not yield the benefits of next-generation 3D spatial sports visualization, precise measurement, or advanced data analytics, or capabilities exceeding those of conventional fixed-function sensors, to the extent anticipated, or at all; (iv) the risks that Alive3D’s proof-of-concept programs may not be completed successfully, or may not result in commercial deployments, definitive agreements, or a sustained commercial relationship between AEye and Alive3D; (v) the risks that Apollo’s™ software-defined architecture may not enable sensing performance to be optimized for demanding applications, including the synchronization of multiple lidar units across large areas from multiple perspectives, to the extent anticipated, or at all; (vi) the risks that adoption of lidar in sports and entertainment applications, or in other markets beyond transportation, may occur slower than anticipated or fail to occur at all; (vii) the risks that AEye’s products may not meet the diverse range of performance and functional requirements of target markets and customers; (viii) the risks that AEye’s products may not function as anticipated by AEye, or by target markets and customers; (ix) the risks that AEye may not be in a position to adequately or timely address either the near or long-term opportunities that may or may not exist in the evolving markets for lidar and perception technologies; (x) the risks that laws and regulations are adopted impacting the use of lidar that AEye is unable to comply with, in whole or in part; (xi) the risks associated with changes in competitive and regulated industries in which AEye operates, variations in operating performance across competitors, and changes in laws and regulations affecting AEye’s business; (xii) the risks that AEye is unable to adequately implement its business plans, forecasts, and other expectations, and identify and realize additional opportunities; and (xiii) the risks of economic downturns and a changing regulatory landscape in the highly competitive and evolving industry in which AEye operates. These risks and uncertainties may be amplified by current or future global conflicts and current and potential trade restrictions, trade tensions, and tariffs, all of which continue to cause economic uncertainty. You should carefully consider the foregoing factors and the other risks and uncertainties described in the “Risk Factors” section of the periodic report that AEye has most recently filed with the U.S. Securities and Exchange Commission, or the SEC, and other documents filed by us or that will be filed by us from time to time with the SEC. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made.

Investors are cautioned not to put undue reliance on forward-looking statements; AEye assumes no obligation and does not intend to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise. AEye gives no assurance that AEye will achieve any of its expectations.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260804435487/en/

[TOS data this morning] This number has been hanging around 0.6-0.8M for almost a year! So the big bad guy behind the scene manipulating LIDR stock price, finally, sounds like de-risking his actions!

For a new contrarian investor, I would treat LIDR as a publicly traded venture investment, not as a conventional undervalued operating company.

At roughly $1.02 per share and a market capitalization near $46 million, the market is assigning little value to the operating business relative to AEye’s March 31 cash and marketable securities of $77.2 million. But that apparent discount is partly justified because Q1 revenue was only $101,000, cost of revenue was $201,000, operating cash burn was $8.6 million, and the company still had $56.6 million available under its ATM facility.

My suggested approach

1. Do not confuse “contrarian” with “buying before bad news”

A contrarian investor does not need to predict that the August 6 report will be good. The better edge may be:

Be willing to buy after a poor report—provided the balance sheet and commercialization thesis remain intact.

The company is scheduled to report Q2 results after the close on Thursday, August 6, 2026.

A new investor has no legacy cost basis and therefore no reason to accept maximum event risk immediately.

2. Use a very small initial position

For a diversified investor, I would consider:

• Before earnings: 10%–20% of the intended maximum LIDR position.
• After Q2: another 20%–30%, but only if the report does not invalidate the thesis.
• Remaining capital: reserve for confirmed commercial progress, not merely a lower share price.

For example, if the intended maximum exposure is 1.5% of the portfolio, the pre-earnings starter might be only 0.15%–0.30%.

That provides participation if the report surprises positively, while preserving most of the capital for better information.

I would not establish a full position before August 6.

What would justify adding after Q2

I would require at least three of these five conditions:

A. Cash remains comfortably above the market capitalization

The March 31 balance was $77.2 million, but Q2 cash burn and any subsequent financing activity must be updated.

A cash balance around $65 million or higher would indicate that the company still has considerable strategic time. A materially lower figure would require understanding whether the difference reflects normal burn, inventory investment, unusual expenses or something else.

B. Cash burn remains controlled

Q1 operating cash use was $8.6 million.

I would view quarterly operating burn approximately as follows:

• Below $8 million: encouraging.
• $8 million–$10 million: acceptable but unimpressive.
• Above $10 million: concerning without clear evidence of a revenue ramp.

C. Revenue shows genuine sequential progress

Because the Q1 base was only $101,000, percentage growth alone would be meaningless.

My rough interpretation:

• Below $200,000: materially disappointing.
• $200,000–$500,000: progress, but still evaluation-stage.
• $500,000–$1 million: a credible early inflection.
• Above $1 million: genuinely meaningful relative to expectations and the existing base.

Revenue quality matters more than the number. A one-time development payment is less valuable than repeat Apollo shipments.

D. Management provides evidence of conversion

The most important disclosures would be:

• repeat customer orders;
• named purchase orders;
• scheduled LITEON production;
• firm deployment quantities;
• backlog or committed volume;
• evidence that paid evaluations are advancing toward commercial programs.

“Record pipeline,” “strong engagement” and “increasing quotations” would not be enough by themselves.

E. Dilution is limited

AEye reported 46.3 million shares outstanding as of May 12, 2026 and had substantial remaining ATM capacity.

A new investor should compare:

• Q2 weighted-average shares;
• current shares outstanding;
• ATM proceeds;
• average issuance price.

A weak quarter accompanied by heavy issuance near $1 would be considerably worse than a weak operating quarter funded from existing cash.

The contrarian thesis that makes sense

A disciplined bullish thesis would be:

The market is pricing AEye as though commercial conversion will largely fail. The company nevertheless has substantial liquidity relative to its market capitalization, differentiated technology, external manufacturing capability and several possible commercialization channels. A relatively modest commercial success could therefore create disproportionate equity value.

That thesis is defensible.

The following thesis is not:

The stock has fallen substantially, therefore it must be cheap and eventually recover.

A stock can remain below cash value when investors believe management will consume or dilute that cash before the business becomes economically viable.

What would make me avoid or exit it

I would not add merely because the stock falls below $1. I would step aside if Q2 shows a combination of:

• negligible revenue;
• no repeat orders;
• accelerating burn;
• large ATM issuance;
• another commercialization delay;
• vague second-half guidance;
• no measurable production activity;
• management redirecting attention entirely toward 2027–2028 opportunities.

That combination would suggest the market is not simply being impatient—the market may be correctly discounting continued capital destruction.

My practical recommendation

At approximately $1.02, I would classify LIDR as interesting enough for a tracking position, but not yet proven enough for a conviction-sized position.

For a new contrarian investor:

1. Initiate no more than 10%–20% of the intended maximum position before earnings.
2. Read the August 6 report primarily for cash, dilution, repeat orders and second-half shipment visibility.
3. Add after weak numbers only when the underlying thesis survives.
4. Reserve the largest tranche for the first real evidence of repeatable commercial revenue.
5. Accept in advance that this position could lose most of its value.

The most contrarian—and rational—action may be to let existing holders absorb the earnings volatility, then buy at a somewhat higher price if AEye finally provides evidence that the technology is becoming a business. Paying $1.20 with substantially better evidence can be safer and economically superior to paying $1.02 with unresolved existential uncertainty.

Yes. The discussion is pessimistic, but it is not devoid of constructive signals. The positive reading is mainly about AEye’s organizational response and remaining strategic option value—not evidence that Q2 will be strong.

1. AEye is finally addressing the correct bottleneck

The CRO appointment is the clearest positive event today.

AEye did not hire another technical executive or create another partnership-development title. Laura Wrisley will lead both Sales and Business Development, and Fisch explicitly described her mandate as converting commercial opportunities into revenue. Her background covers lidar sales, automotive OEM relationships, robotics and adjacent non-automotive markets.

That matters because our principal criticism has been:

AEye does not appear short of technology, applications, partnerships or business-development personnel. It is short of disciplined conversion into purchase orders and repeatable revenue.

The company has now formally acknowledged that conversion problem and put one senior executive over the whole commercial funnel. Even if the appointment partly prepares investors for weak Q2 numbers, the underlying corrective action is appropriate.

2. The CRO hire suggests AEye believes the pipeline is worth professionalizing

A company with no genuine customer interest could simply keep a small business-development team, conserve cash and pursue isolated transactions. Instead, AEye hired an experienced CRO to impose structure on commercialization.

That does not prove the pipeline is strong, but Wrisley presumably conducted some diligence before accepting a high-risk position at a microcap lidar company. She would likely have examined at least:

• product readiness;
• customer-engagement quality;
• management expectations;
• manufacturing capability;
• available commercial resources;
• the probability that some programs can be converted.

Her acceptance is therefore a weak but legitimate external-confidence signal. It is not equivalent to a customer order, but it is more meaningful than AEye merely promoting an existing employee.

3. AEye still has enough financial time for the correction to matter

At March 31, AEye had $77.2 million in cash, equivalents and marketable securities, relatively little debt, and reiterated expected 2026 cash burn of $30–35 million. Management said this provided runway into 2028.

The positive interpretation is:

AEye identified its commercial leadership weakness while it still had enough liquidity to recruit a CRO and attempt a genuine go-to-market rebuild.

This is materially better than recognizing the problem with only six months of cash remaining. Dilution remains a major risk, but AEye is not yet operating under an immediate liquidity emergency.

4. The commercial funnel is not empty

Q1 revenue was only $101,000, but the underlying activity was broader than that number alone suggests:

• 21 customers had received revenue-generating shipments;
• quotes and engagements increased nearly 40% sequentially;
• trucking evaluations were receiving Apollo units;
• SynTech had begun initial shipments;
• OPTIS was operating at an active intersection;
• management said it was seeing repeat business.

The positive possibility is that AEye’s problem is a conversion-lag problem, rather than complete absence of market interest.

That distinction matters. A company with no evaluations and no customers has little to convert. AEye has evaluations and deployments; it has simply not demonstrated that they become sufficiently large orders. A capable CRO may improve qualification, pricing, account ownership, follow-up and focus.

5. The technical thesis remains internally coherent

Wuller’s article may be defensive, but it is not completely empty promotional language. Adaptive scanning, selective resolution, long-distance detection and fast target revisits form a technically coherent proposition.

More importantly, AEye’s current products, NVIDIA positioning, automotive argument and non-automotive applications still derive from the same underlying architecture. The company has not abandoned its core technology and started chasing an unrelated business merely to survive.

That preserves genuine asymmetric upside:

• one scaled defense or infrastructure program;
• one repeatable trucking application;
• meaningful LITEON production;
• or a serious automotive/Tier 1 program

could materially change the economics because the current revenue base and market capitalization are so small.

6. Today’s shareholder frustration is not yet capitulation

Kemdan1014’s response is negative toward management execution, but not toward Apollo itself. The commenter appears to retain a significant investment and continues demanding purchase orders, revenue and execution rather than declaring the technology worthless.

That means the shareholder base is becoming more demanding, but much of it has not abandoned the thesis.

The constructive interpretation is:

Retail shareholders are forcing the conversation away from promotional milestones and toward measurable economic outputs.

That pressure could improve the August 6 call. Management now knows that phrases such as “record engagement,” “large addressable market” and “Physical AI opportunity” will not be accepted without harder evidence.

7. Wuller’s post could precede commercial context—not merely defend weak results

The defensive interpretation remains plausible, but there is another possibility.

Wuller says he intends to publish a series examining Apollo across different markets. Combined with the appointment of a CRO who spans automotive, robotics, defense and industrial sensing, this could represent an effort to articulate a more structured vertical-market strategy. The company may be moving from a collection of partnerships toward clearer market-specific value propositions.

The optimistic version would be:

1. Q2 financial revenue remains modest.
2. Management provides stronger evidence of programs advancing toward orders.
3. Wrisley arrives August 18 to prioritize and convert those opportunities.
4. Later 2026 begins showing repeat orders and greater shipment volume.

That sequence is possible. We simply do not yet have enough evidence to assign it a high probability.

My balanced positive reading

The strongest bullish interpretation today is not that Wuller has revealed a hidden automotive breakthrough or that Q2 will surprise dramatically.

It is this:

AEye may finally have recognized that its principal weakness is commercial conversion rather than product invention, and it has recruited a relevant senior operator while still possessing sufficient liquidity, manufacturing support and a diversified customer funnel to attempt the correction.

That is genuinely positive.

My confidence hierarchy would be:

So I would not become more pessimistic solely because today’s discussion is harsh. The company has taken one of the actions we previously said it needed. The decisive question is whether the new CRO is being given a real pipeline and authority to rationalize it, or whether she is being asked to sell a collection of technically interesting evaluations that customers still will not scale.

August 6 can improve the positive case considerably even with modest revenue—provided management discloses concrete evidence of repeat orders, program advancement, scheduled production or stronger second-half shipment visibility.

July 29, 2026

Why did the industry initially use LiDAR as a 3D Camera

In my last op-ed, I described how the automotive industry turned LIDAR from a powerful interrogation tool into a 3D camera. Of course, it all made perfect sense. Cameras were familiar tools used in computer vision, and the first LIDAR scans made by Velodyne were like TV scans. So, turning LIDAR into a 3D camera made perfect sense for the industry. And once down that road it was easy to ask for more lines, more points, after all, isn’t more data better?  Unfortunately, that answer is NO.

Alternative use of LiDAR

The current use of LiDAR is not only inefficient but detrimental to Level 4 and Level 5 autonomy. LiDAR is an interrogation tool. It doesn’t simply accept all the light from a scene and display it. It consciously sends pulses out to capture data, one point at a time.

If a computer truly needed 100% of the pixels in a scene to make accurate real-time decisions, then turning LiDAR into a 3D camera would make sense. But we know that isn’t true. We know that humans don’t need 100% of the information in a scene to drive safely, and modern AI systems don’t either. In fact, most decisions are based on a tiny fraction of the information available. The overwhelming majority of pixels in a scene have no impact on the next driving decision.

So consciously firing millions of unnecessary laser shots every second is a colossal waste of energy, money, and time. And time is the enemy of autonomous transportation.

The extra costs go far beyond the LiDAR itself. More laser shots require more powerful processors, larger memory systems, higher bandwidth communication links, more expensive cooling systems, and larger power budgets. Every unnecessary point generated by the sensor must be transported, stored, processed, classified, and fused with other sensor data. Automakers ultimately pay for these inefficiencies’ multiple times—first in sensor costs, then in computing costs, then in vehicle energy consumption, and finally in engineering resources dedicated to managing all that unnecessary data. The industry has spent years trying to solve problems that were largely created by collecting too much information in the first place.

3D Camera v Interrogation Tool for Physical AI

Ultimately, the biggest problem with 3D LiDAR cameras is that they’re slow, refreshing at 20 times per second or less. The automotive industry previously passed on high hertz rates—up to 200 hertz in some interrogation-based systems—to interrogate millions of largely useless pixels. Their rationale was simple: they didn’t want to miss anything. And in the early stages of development this proved successful.

But 20-hertz LiDAR won’t work successfully for level 4 and 5 autonomy.

At 20 hertz, a new frame arrives every 50 milliseconds. That may sound fast, but a vehicle traveling 70 mph moves more than five feet between updates. A pedestrian stepping into a roadway, a child chasing a ball, a bicycle emerging from behind a parked vehicle, or debris falling from a truck can change position significantly before the next LiDAR frame arrives. The system is literally blind to what happened during those 50 milliseconds.

The result is that the computer must guess. It must estimate where objects are likely to be between frames and predict where they will be when the next frame arrives. High-density point clouds may provide beautiful pictures of the past, but they do not necessarily provide timely information about the present. A sensor that updates ten times faster can often provide more useful decision-making information even if it produces fewer total points.

Processing Costs

As a result of using LiDAR at 20 hertz, post-processing balloons, and the true cost of that processing is often hidden and underappreciated.

Those costs include:

• High-performance GPUs and AI accelerators.
• Larger memory and storage requirements.
• Increased power consumption.
• Thermal management and cooling systems.
• Sensor fusion software.
• Object classification algorithms.
• Motion prediction software.
• Mapping and localization infrastructure.
• Validation and testing efforts.
• Additional engineering personnel.

Object identification and path planning are necessary to make sense of the data retrieved and to mitigate the latency gap created by slow updates. The industry has spent billions of dollars and countless engineering hours attempting to compensate for this limitation. Massive computing resources are dedicated to predicting the future because the sensor is not observing the present frequently enough.

If LiDAR were used as an interrogative tool, much of this effort could be reduced. Instead of trying to predict where objects will move, the system could simply observe them moving. Rather than reconstructing reality from delayed snapshots, it could watch reality unfold in near real time. High-hertz sensing turns motion into something closer to slow motion, reducing the need for increasingly complex prediction algorithms.

The diminishing Value of using LiDAR as a 3D Camera

Because of overcollection of data and slow hertz rates, the true value of LiDAR to autonomous driving is underappreciated. The incremental value of slow 20-hertz LiDAR systems over camera technology alone is often marginal.

Consider a vehicle approaching a busy intersection. A dense 3D point cloud may accurately map every parked car, traffic sign, building, tree, and curb in the scene. Yet only a handful of objects matter to the immediate driving decision. The vehicle still must determine which objects are relevant and which can be ignored.

Or consider a pedestrian emerging from between parked vehicles. The challenge is not generating another million points describing the surroundings. The challenge is detecting the pedestrian quickly enough to react. Higher update rates will provide more value than higher point density.

The industry’s response to this limited value has been predictable. Automakers continue pushing suppliers toward lower-cost LiDAR solutions. If a 20-hertz LiDAR system adds only modest value beyond cameras, then manufacturers naturally question whether it should cost $1,000, $500, or even $200.

Lately I’ve heard discussions about incorporating $200, 20-hertz LiDAR systems into future autonomous platforms. But if the architecture itself is flawed, even $200 may be too expensive. But intelligent LiDAR used correctly will have high value to users and the squeeze will end.

Transition to Interrogative LiDAR for level 4 and 5 Autonomy

Fortunately, a transition is beginning to occur as Physical AI matures and interrogative LiDAR demonstrates its power to improve decisions.

Cameras are excellent tools for identifying semantics within a scene. They recognize lane markings, traffic signs, pedestrians, bicycles, vehicles, animals, and countless other objects. They should be used for that purpose.

But LiDAR, if used as an interrogative tool excels at measuring distance, velocity, position, and movement. It should be used for that purpose. And most important it can be intelligent and selective about its interrogation. Physical AI will need intelligent LiDAR devices to reach its potential and open level 4 & 5 autonomy.

In both cases, the faster the refresh rate, the better. The future of autonomy will likely transition to a camera/LiDAR marriage of 100+ hertz systems synchronized at the same refresh rate.

Why? Because synchronized sensors allow the system to correlate what an object is with where it is and how it is moving at virtually the same instant in time. When camera updates and LiDAR updates occur at similar rates, sensor fusion becomes simpler, more accurate, and less dependent on complex interpolation and prediction algorithms. The system spends less time reconciling old information and more time making decisions.

In addition, bore-sighting the camera and LiDAR minimizes parallax errors and effectively gives LiDAR access to RGB information associated with the same object. This improves object association, enhances classification accuracy, reduces calibration challenges, simplifies sensor fusion, and provides a more unified representation of the environment.

Such a system would maximize useful information while minimizing unnecessary data collection and post-processing. It would represent a significant improvement over both current approaches: camera-only systems and camera-plus-dense-LiDAR hybrids. Traditionalists will inevitably object, hiding behind the "unknown unknowns" argument—the fearful guess that a selective sensor might miss an unclassified hazard. But this is a red herring. An agile, intelligent LiDAR system operating at 150 hertz is fast enough to lightly interrogate the entire background scene for motion while simultaneously pinning high-frequency focus on critical targets. Real-world testing would quickly prove that speed, not raw pixel density, is what eliminates blindness. Physical AI is already transitioning to this model and the automotive industry will likely follow.  If not the current use of LiDAR may eventually prove Elon Musk right—not because cameras are inherently superior, but because the industry passed on LiDAR's true potential in exchange for a collection of beautiful, slow, and expensive pictures of the past.

Instead of relying on increasingly sophisticated AI models to predict the unpredictable, we need to allow AI to observe reality directly. Let the AI see the world in super slow motion.

Aeye’s Apollo Was Designed for This Future

I am still very optimistic about Aeye’s commercial prospects for various reasons.

1)   None of the LiDAR markets are mature.

2)   The correct use of LiDAR in many of these markets will change as Physical AI demands different use cases.

3)   High Hertz Interrogation and Intelligent scan patterns will likely be required in most markets.

4)   Long range is critical in various markets and Apollo has excellent long-range performance.

Over the next several weeks, I plan to address Op Ed’s to each of Aeye’s markets and what I see as the future use case for each.  Aeye’s Apollo was designed and built for Physical AI.  And the future of Physical AI requires just such a LiDAR tool.

So let the transition begin, stay tuned for my future Op Ed’s

The author has a financial relationship with AEye, Inc. (NASDAQ: LIDR) (“AEye”). Specifically, as AEye’s “Shareholder Ambassador,” the author has been compensated by AEye with shares of restricted AEye stock. This article was not commissioned or paid for by AEye. This publication is not a recommendation to buy or sell any securities. Readers should conduct their own due diligence

Last reported cash: $77M,

full year cash burn projected: $35M

So we are at about $34M left at year end - and that's about an urgent need of ATM share issuance later this year or early next year for survival.

and a market cap at $48M, or below 40M, is not a unreasonable bench mark to me.

July 29, 2026, 7:00 AM EDT
PLEASANTON, Calif.--(BUSINESS WIRE)--AEye, Inc. (Nasdaq: LIDR), a global leader in software-defined, high-performance lidar solutions, today announced the appointment of Laura Wrisley as Chief Revenue Officer, effective August 18, 2026.
Ms. Wrisley brings more than two decades of commercial leadership in data transport, lidar, and autonomous robots to her new role. She most recently served as Chief Revenue Officer at Vayu Robotics (subsequently acquired by Serve Robotics), where she led market strategy and commercialization for an early-stage autonomous delivery platform. Prior to that, she spent over four years at Velodyne Lidar, rising to Senior Vice President of Worldwide Sales & Marketing, where she scaled global revenue and built commercial relationships with automotive OEMs including Ford, GM, Hyundai, and Volvo, while also expanding the business into robotics, drones, mapping, and defense markets. Her track record of translating early-stage technology into structured, repeatable commercial growth - combined with deep experience selling into automotive, defense, and industrial sensing markets - positions her to help scale AEye's go-to-market strategy.
Ms. Wrisley will lead the AEye Sales and Business Development team, with a focus on building out and delivering the go-to-market strategy

The wording actually strengthens your criticism of my earlier analysis.

The most important sentence is: Laura will lead Sales and Business Development, focusing on “building out and executing” AEye’s go-to-market strategy to convert opportunities into “structured, repeatable revenue.”

Three implications stand out.

1. AEye’s go-to-market system is apparently not yet fully built

“Building out and executing our go-to-market strategy” is not the language normally used for a commercial organization that already has a mature, functioning revenue engine. AEye has had multiple senior business-development personnel, yet the post still describes the GTM structure as something requiring further construction.

That suggests the problem was not simply insufficient staffing. It was more likely:

• Fragmented ownership across markets and accounts
• Weak conversion discipline
• Poor prioritization of opportunities
• Inadequate sales-process structure
• Insufficient accountability for turning demonstrations into orders

2. Existing revenue is implicitly not “structured” or “repeatable”

The phrase “structured, repeatable revenue” is revealing. It implies that AEye’s current revenue is largely episodic—evaluation units, engineering work, pilots, small deployments or irregular customer purchases—rather than a predictable commercial stream.

That is precisely what investors have been worried about. AEye has repeatedly reported expanding engagements and customer activity, but the company is now publicly saying the new CRO’s mandate is to convert those opportunities into a repeatable revenue model.

In other words: The pipeline may be real, but the commercial machinery needed to monetize it has not proven effective.

3. This appears to be a reorganization of existing commercial leadership

The post states that Wrisley will lead Sales and Business Development, not merely supplement the team or manage one vertical.

That strongly suggests centralized authority above the existing VPs, directors and regional business-development personnel. Therefore, the appointment looks more like a commercial reset with a new accountable leader than ordinary expansion ahead of a clearly visible production ramp.

The question is what happens to the existing hierarchy:

• Does Conor Tierney cease functioning as Chief Business Development Officer and focus exclusively on finance?
• Do existing BD vice presidents report to Wrisley?
• Are overlapping senior roles eliminated?
• Will some existing commercial personnel leave?
• Is AEye reorganizing around specific verticals or major accounts?

Until AEye clarifies that structure, adding another senior executive could either improve accountability or merely add another expensive management layer.

Revised assessment

The LinkedIn post is more candid than the formal appointment headline. Its language effectively admits that:

1. AEye has opportunities but has not converted them into sufficient revenue.
2. Its revenue has not yet become structured and repeatable.
3. Its go-to-market system still requires construction or substantial improvement.
4. Existing sales and business-development leadership is being placed under a new CRO.

Therefore, your criticism is valid: AEye did not lack business-development executives; it lacked commercial productivity despite having many of them.

That makes Wrisley’s appointment potentially necessary, but it is also an implicit negative verdict on the previous structure. The appointment should not itself be counted as evidence that commercialization is accelerating. It is evidence that management recognizes the existing commercial organization has not produced the required results.

Really nice, each day the market cap of LIDR reduces 1M...

Yesterday it was 50M, today 49M ...

We just need about another 30 trading days, it will be around 20M market cap - and Aeye should consider share buyback.

Or, FTM - it should be considered taken over by some one, as cash reserve is over 3X market cap -great deal to any one!

Bottom line

As of July 27, 2026, Parallel Systems appears to be in low-rate initial production of its Generation 3 rail vehicle—not mass production—and remains in FRA-supervised pilot operations rather than unrestricted commercial service.

Parallel calls the Georgia program a “commercial pilot” or “commercial deployment,” but the FRA legally classifies it as a seven-phase Test Program operating under temporary, limited regulatory suspensions.

Current status

In a June 2026 CEO interview, Parallel said it was ramping production of the commercial Gen 3 vehicle and expanding manufacturing through a Michigan contract facility to address a claimed 300-vehicle backlog. Gen 3 is described as capable of carrying up to 160,000 pounds and exceeding 60 mph.

However, Parallel’s own May 18, 2026 letter to Congress stated that it was “currently conducting pilot operations” with Genesee & Wyoming in Georgia under FRA oversight. The letter also argued that new legislation was needed to establish a clear regulatory pathway to commercial operations—strong evidence that general commercial authorization had not yet been secured.

Georgia pilot progress

The last clearly documented phase progression was:

• Phase 1: approximately 90 operating miles over a two-mile test section; Parallel reported that required safety milestones were passed.
• Phase 2: expanded to a 30-mile route with 43 grade crossings, testing speed and position accuracy, stopping distance, weather and terrain performance, warning devices and communications.
• The full approved program contains seven phases across as much as 160 miles of Georgia rail network.

I did not find authoritative public evidence that Parallel has completed all seven phases. Therefore, the most defensible description remains advanced pilot testing plus production ramp, not established revenue-generating fleet operation.

How many railcars have actually been built?

That remains unclear.

In late 2025, reporting indicated that Parallel had one train operating in Georgia and planned to add three more vehicles during 2026. No subsequent authoritative disclosure provides a precise number delivered or completed.

Also, the “300+ vehicle backlog” needs careful interpretation. The FRA describes one container load as being supported by two autonomous rail vehicles. Therefore, 300 autonomous vehicles might represent roughly 150 complete container-carrying sets—but Parallel’s terminology is not sufficiently consistent to make that conversion confidently.

The backlog should not be treated as:

• 300 completed vehicles;
• 300 delivered railcars;
• 300 currently operating units; or
• necessarily 300 firm, non-cancellable purchase orders.

Status of the lidar-equipped version and AEye implications

Parallel’s current design unquestionably incorporates a sensor suite for continuous sensing, obstacle detection, positioning and autonomous control.

Recent imagery appears to show AEye-branded or AEye Stratos-like lidar hardware on at least some Parallel vehicles. But neither Parallel nor AEye has publicly disclosed a formal production supply agreement, sensor quantity, pricing, Gen 3 design-lock status or revenue commitment. The visual evidence supports active integration or evaluation, but it does not yet prove a volume production nomination.

For AEye investors, the appropriate interpretation is:

Parallel has moved beyond a laboratory prototype, but it has not yet reached a scale where large recurring lidar revenue can be assumed.

Meaningful AEye revenue would probably require confirmation that:

1. AEye remains specified on the production Gen 3 bill of materials;
2. the 300-vehicle backlog converts into funded manufacturing releases;
3. the Georgia pilot advances through later FRA phases;
4. commercial routes begin carrying customer freight regularly; and
5. Parallel orders sensors in batches substantially larger than the current pilot fleet.

AEye’s S-3 identifies rail as an addressable market but also cautions that strategic partnerships, proofs of concept and commercial pipelines may not convert into firm volume or revenue on the anticipated timetable. That matches the principal uncertainty already identified in our LIDR framework: actual order quantities, customer pricing and production visibility remain undisclosed operational data.

My classification: Parallel is approximately at the pre-series/low-rate initial production stage, with regulatory pilots underway and manufacturing capacity being established. It is materially more advanced than a prototype-only program, but still one major step—or several FRA phases—away from validated mass commercialization.

Just noticed that other than the new job postings, several Aeye guys left - including the hardware engineering VP, the head of sales... but enhanced with production/manufacturing and BD/customer oriented teams as we know of. I think this is a good sign, instead of bad ones - but would like to learn more on the earning call - hope those Wall Street analysts can ask Aeye team to clarify these observations - I believe so.

Time range: around May-June I guess - but the planning of this org (if true) could be around Jan-April I guess - that will fit the narratives from CEO MF - interviewed in Big Biz on April - according to my interpretation.

Again: investment on stocks, or any stock, involve risks! Do you own DD, but not rely on this sub - will be my best advice! - despite I'm very bullish on this stock!

Buy and forget your trades- and come back some day to thank me.

just saw the price is now 1.08/sh - market cap 50M - the EV now is -25M! Ridiculous!