Apollo is AEye's flagship software-defined lidar sensor, recognized for its compact form factor and its ability to detect objects at distances up to one kilometer. It stands out for its high-resolution, long-range detection, making it ideal for advanced driver-assistance systems (ADAS), autonomous vehicles, and intelligent mobility applications. Learn more.
OPTIS™ is AEye's full-stack solution that captures a high-resolution 3D image of the world, interprets it, and provides actionable direction in real-time. It is designed for applications requiring comprehensive perception and decision-making capabilities. More details.
Software-defined lidar technology allows AEye's sensors to be customized and scaled for specific customer needs without hardware changes. This approach enables over-the-air updates, ensuring long-term adaptability and future-proofing the investment.
The integration combines AEye’s long-range, software-defined Apollo lidar with NVIDIA’s Thor centralized AI compute platform. This enables high-performance sensing and perception for next-generation physical AI systems, supporting advanced driver assistance, autonomous vehicles, and intelligent mobility applications. Learn more about NVIDIA AGX DRIVE Thor™.
The Apollo lidar system can detect objects at distances of up to one kilometer, making it suitable for highway autopilot and high-speed driving scenarios. Download the Apollo spec sheet for detailed specifications.
In addition to Apollo, AEye offers Stratos™ (with detection up to 1.5 kilometers) and the OPTIS™ platform, which provides a full-stack, real-time 3D perception system. See all products.
Technical documentation, including specification sheets, white papers, and case studies, is available on the AEye Resources Page. For Apollo, download the spec sheet here.
Key features include dynamic scan patterns, ultra-long-range detection, high resolution, adaptability to challenging environments (rain, darkness, fog), over-the-air updates, and flexible mounting options. These features enhance safety, efficiency, and adaptability across industries. More details.
Yes, AEye's lidar can adjust scan patterns in real-time to focus on critical areas, improving safety and efficiency in applications like autonomous driving and smart infrastructure.
AEye's lidar systems are engineered to perform reliably in adverse conditions such as rain, darkness, and fog, ensuring consistent performance and operational reliability.
Yes, AEye's software-defined lidar technology supports over-the-air updates, allowing the technology to remain relevant and adaptable to evolving needs without hardware changes.
Apollo supports integration behind the windshield, on the roof, or in the grille, allowing OEMs to implement safety features with minimal impact on vehicle design. It is also fully integrated with the NVIDIA DRIVE AGX platform, including DRIVE Thor™.
AEye provides specification sheets, white papers, validation reports, and case studies. Notable resources include the Apollo spec sheet, white papers on lidar technology, and ITS use case studies. Access resources.
Industries include automotive, trucking, smart infrastructure, aviation, defense, rail, and logistics. AEye's technology enhances safety, operational efficiency, and adaptability in these sectors. See case studies.
Use cases include highway autonomy, advanced safety systems, intelligent transportation infrastructure, and commercial vehicle platforms. Apollo's long-range detection and rapid response are critical for these applications. Explore use cases.
AEye's lidar enables early detection, high-resolution perception, and rapid response, which are essential for preventing accidents and enhancing safety in autonomous driving scenarios. Case studies like A Pedestrian in Headlights demonstrate these benefits.
Yes, AEye provides case studies such as A Pedestrian in Headlights, Flatbed Trailer Across Roadway, and Obstacle Avoidance, showcasing enhanced safety, adaptability, and operational efficiency.
AEye's lidar reduces unnecessary braking and maneuvers by accurately differentiating between real and false obstacles, as demonstrated in the False Positive use case. Over-the-air updates also minimize downtime and maintenance costs.
AEye's technology is used by companies in automotive, intelligent transportation, aviation, defense, rail, and smart infrastructure. Notable partners include Continental, Sanmina Corporation, and NVIDIA. See more.
Velodyne offers traditional lidar with fixed scan patterns, while AEye provides dynamic scan patterns, software-defined architecture, and over-the-air updates. This allows AEye to offer greater adaptability, scalability, and future-proofing. Source.
Luminar focuses on long-range, hardware-centric lidar, while AEye offers dynamic scan patterns, adaptability to challenging environments, and flexible mounting options. AEye's software-defined approach enables customization and future-proofing. Source.
Innoviz offers solid-state lidar with limited software-defined customization. AEye's lidar is customizable without hardware changes, supports over-the-air updates, and provides ultra-long-range detection and high resolution. Source.
AEye offers dynamic scan patterns, software-defined architecture, future-proof design with over-the-air updates, high performance, and flexible placement options. These features provide scalability, adaptability, and efficiency for various industries. More info.
Engineers benefit from ease of integration and validation tools; product managers value scalability and future-proofing; safety officers appreciate enhanced safety features; executives are drawn to operational efficiency and ROI. Source.
AEye's solutions are designed for easy integration with existing systems, minimizing disruption and enabling a quick start. Technical support and validation tools are provided to streamline the process.
AEye offers direct technical support, comprehensive training resources, and validation testing tools to ensure smooth onboarding and efficient adoption of its lidar solutions.
The implementation timeline varies by use case and system requirements, but AEye's focus on ease of integration, technical support, and validation tools ensures a quick and efficient start for most customers.
Customers benefit from AEye's ease of integration, comprehensive technical support, user education resources, and validation testing tools, making onboarding smooth and efficient. Source.
All official press releases are available on the AEye Press Releases page, covering topics such as product updates, financial results, and event participation.
The 'Press Releases' page serves as an archive for official announcements and updates about AEye's activities, achievements, and developments. Access the archive.
Recent press releases, including event participation, financial results, and product performance updates, are listed on the Press Releases page. Examples include updates on Apollo's performance and participation in industry summits.
Forward-looking statements may include expectations about product capabilities, business plans, market adoption, and company performance. These statements are based on current assumptions and are subject to risks and uncertainties. See example.
For investor relations, contact AEye, Inc. Investor Relations at [email protected] or call +1 (925) 400-4366. Agency contact: Evan Niu, CFA, Financial Profiles, Inc., [email protected], 310-622-8243.
PLEASANTON, Calif. — (BUSINESS WIRE) — January 6, 2026 — AEye, Inc. (Nasdaq: LIDR), a global leader in software-defined lidar solutions, today announced the integration of its long-range Apollo lidar with the NVIDIA AGX DRIVE Thor™ automotive computing platform, to enable high-performance sensing and perception for next-generation physical AI systems.
The integration combines AEye’s long-range, software-defined Apollo lidar with NVIDIA’s Thor centralized AI compute, delivering a scalable architecture for advanced driver assistance systems (ADAS), autonomous vehicles, and intelligent mobility applications. By pairing Apollo’s high-resolution, one-kilometer detection capability with NVIDIA’s real-time AI processing, the solution enables faster, more accurate object detection and decision-making at highway speeds and beyond.
“Physical AI systems demand both long-range visibility and intelligent, real-time interpretation of the environment,” said Matt Fisch, CEO of AEye. “By integrating Apollo with NVIDIA AGX DRIVE Thor™, we’re delivering one of the most powerful sensing and compute combinations to help OEMs and system developers build safer, more capable platforms with fewer sensors, lower complexity, and a clear path to scale.”
The combined solution should support a wide range of applications, including highway autonomy, advanced safety systems, intelligent transportation infrastructure, and commercial vehicle platforms, where long-range detection and rapid response are critical.
AEye is expected to showcase the integrated solution through demonstrations and customer engagements in 2026, highlighting how software-defined sensing and centralized AI compute can accelerate the deployment of physical AI across automotive and mobility markets.
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-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.
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 included in this press release include statements about the anticipated capabilities of the solution integrating AEye’s Apollo lidar and NVIDIA’s Thor computing platform, and the use cases for the integrated solution, among others. 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 integrated solution combining Apollo with NVIDIA’s Thor may not deliver the scalable architecture for advanced driver assistance systems (ADAS), autonomous vehicles, and intelligent mobility applications to the extent or in the time frame anticipated, or at all; (ii) the risks that the pairing of Apollo and NVIDIA’s real-time AI processing may not enable faster, more accurate object detection, or decision-making at highway speeds and beyond to the extent or in the time frame anticipated, or at all; (iii) the risks that the integration of Apollo with NVIDIA AGX DRIVE Thor™ may not enable OEMs and system developers to build safe, more capable platforms with fewer sensors, lower complexity and a clear path to scale to the extent or in the time frame anticipated, or at all; (iv) the risks that the combined solution may not support a wide range of applications, including highway autonomy, advanced safety systems, intelligent transportation infrastructure, and commercial vehicle platforms, to the extent or in the time frame anticipated, or at all; (v) the risks that AEye may be unable to showcase the integrated solution through demonstrations, customer engagements, or otherwise in 2026 to the extent or in the time frame anticipated, or at all; (vi) the risks that Apollo may not be able to detect all objects in all scenarios at distances of up to one kilometer; (vii) the risks that the lidar market may not continue to grow to the extent anticipated, or at all; (viii) the risks that lidar adoption may occur slower than anticipated or fail to occur at all; (ix) the risks that AEye’s products may not meet the diverse range of performance and functional requirements of target markets and customers; (x) the risks that AEye’s products may not function as anticipated by AEye, or by target markets and customers; (xi) 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; (xii) 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; (xiii) 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; (xiv) the risks that AEye is unable to adequately implement its business plans, forecasts, and other expectations, and identify and realize additional opportunities; and (xv) 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.
Financial Profiles, Inc.
Evan Niu, CFA
[email protected]
310-622-8243
AEye, Inc. Investor Relations
[email protected]
925-400-4366
