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Innoviz Technologies to Develop LiDAR-Based Perception Stack for Highway Driving with Top 10 Global Automotive OEM

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Innoviz Technologies (NASDAQ: INVZ) announced a collaboration with a top 10 global automotive OEM to develop and validate a complete LiDAR-based perception stack for a highway operational design domain (ODD). The project will use InnovizTwo LiDAR and Innoviz perception software running on an NVIDIA-powered compute platform.

The perception stack will cover core Physical AI functions, including Point Cloud Plus (PC+) with obstacle detection to classify drivable versus non-drivable areas and flag in-path hazards, as well as object detection and object classification of pedestrians, cars, trucks, and two-wheelers for highway driving exploration.

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Positive

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Negative

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Market Context

Recent Innoviz history included a 10.18% move for news_id 1084402 and a -0.65% move for news_id 1079...
Analysis

Recent Innoviz history included a 10.18% move for news_id 1084402 and a -0.65% move for news_id 1079314. That mixed record adds context, while elevated short positioning remained a sourced volatility risk.

Key Figures

OEM Ranking: Top 10 Announcement Date: Aug. 4, 2026
2 metrics
OEM Ranking Top 10 Global automotive OEM collaboration
Announcement Date Aug. 4, 2026 Article dateline

Historical Context

5 past events · Latest: Jul 28 (Negative)
Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Jul 28 Registered offering Negative -28.7% Registered direct offering priced at $0.45 per share for gross proceeds.
Jul 21 Conference scheduling Neutral +10.2% Scheduled second-quarter 2026 results release and investor conference call for August 5.
Jul 16 Defense collaboration Positive -1.3% Reported expanded automotive-grade LiDAR applications through six Israeli defense collaborations.
Jul 14 Defense brand launch Positive +7.5% Launched Perciz defense and homeland security brand for counter-unmanned systems applications.
Jul 08 Counter-UAS partnership Positive -0.7% Announced AeroNous integration targeting centimeter-level 3D localization for counter-UAS operations.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Reactions were mixed: positive collaborations often diverged, while the registered direct offering aligned with a sharp decline.

Key Terms

lidar, operational design domain
2 terms
lidar technical
"Innoviz will deliver its InnovizTwo LiDAR and perception software"
Lidar, which stands for Light Detection and Ranging, is a technology that uses laser beams to create detailed, three-dimensional maps of the environment. It works like a sophisticated eye that measures distances by bouncing light off objects, helping machines see and understand their surroundings. For investors, lidar is important because it enables advancements in autonomous vehicles, robotics, and mapping, which can drive innovation and growth in related industries.
operational design domain technical
"for a highway operational design domain (ODD)"
A set of specific conditions under which an automated system or vehicle is designed to operate safely, including factors like road types, weather, speeds, sensors, and the presence of humans. Think of it as the operating rulebook or map for a self-driving system; it matters to investors because the size and clarity of that domain affect a product’s market potential, regulatory approval path, and the timeline and cost to scale deployment.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Innoviz will deliver its InnovizTwo LiDAR and perception software for a highway operational design domain, running on an NVIDIA-powered compute platform.

TEL AVIV, Israel, Aug. 4, 2026 /PRNewswire/ -- Innoviz Technologies Ltd. (NASDAQ: INVZ) (the "Company" or "Innoviz"), a leading supplier of high-performance automotive-grade LiDAR sensor platforms for the automotive, security, defense, and industrial markets, today announced the development of a LiDAR-based perception stack with a top 10 global automotive OEM. Under the collaboration, Innoviz will develop and validate a complete LiDAR-based perception stack for a highway operational design domain (ODD) to explore potential for the OEM's future programs.

Innoviz to Develop LiDAR-Based Perception Stack for Top 10 Global OEM

The project includes Innoviz's InnovizTwo LiDAR solution and perception capabilities powered by NVIDIA hardware. The perception stack Innoviz will build for the highway ODD represents real Physical AI core functions, including:

  • Point Cloud Plus (PC+) and Obstacle Detection: classifies each pixel in the scene as drivable or non-drivable obstacle, flagging in-path hazards such as tires, lost cargo, and Euro pallets along the way.
  • Object Detection: identifies objects and road users in the scene, including pedestrians and vehicles.
  • Object Classification: sorts detected objects into categories including pedestrians, cars, trucks, and two-wheelers.

"Developing a complete LiDAR-based perception stack for highway driving is the clearest signal yet of where this industry is headed," said Omer Keilaf, CEO and Founder of Innoviz . "We built Innoviz to co-design hardware and software from day one, because that's what we believe production autonomy demands. Delivering that stack to automotive-grade standards is Physical AI doing its job, offering a precise, real-time 3D understanding of the world."

About Innoviz
Innoviz is a leading provider of LiDAR technology, serving as a Tier-1 supplier to the world's leading automotive manufacturers while extending its existing sensing solutions into defense, homeland security, industrial, and smart infrastructure markets. 

Innoviz's LiDAR sensors and complementary software suite are designed to deliver exceptional range, resolution, and reliability, providing accurate 3D sensing even in harsh weather conditions. Built to meet the automotive industry's strict standards for performance and safety, Innoviz's sensors are increasingly supplied for applications that demand precise, real-time spatial awareness and continuous object localization. 

Operating across the U.S., Europe, and Asia, Innoviz designs solutions for automotive OEMs, system integrators, municipalities, commercial enterprises, government organizations, and other customers worldwide. Under the Perciz brand, Innoviz offers its existing automotive-grade LiDAR sensors for defense, counter-UAS, perimeter intrusion detection, and homeland security applications. For more information, visit innoviz.tech

Media Contact  
Media@innoviz-tech.com 

Investor Contact   
Investors@innoviz-tech.com 

Forward Looking Statement 
This announcement contains certain forward-looking statements within the meaning of the federal securities laws, including statements regarding the products and solutions offered by Innoviz, the anticipated technological capability of Innoviz's products, including performance under various environmental and operational conditions, the markets in which Innoviz operates, and Innoviz's projected future operational and financial results. These forward-looking statements generally are identified by the words "believe," "project," "expect," "anticipate," "estimate," "intend," "design(ed)," "strategy," "future," "opportunity," "plan," "may," "should," "will," "would," "will be," "will continue," "will likely result," and similar expressions. 
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 announcement, including but not limited to, the ability to successfully formalize collaborations or partnerships or to enter into any definitive agreements, the ability to implement business plans, forecasts, and other expectations, the ability to achieve broader market adoption of Innoviz's products and solutions, the ability to identify and realize additional opportunities, potential changes and developments in the highly competitive LiDAR technology and related industries, the ability to maintain and scale initial deployments into long-term commercial relationships, the risk that evaluations, pilot programs, demonstrations, or initial deployments do not lead to production deployments or commercial contracts, the ability to advance collaborations or partnerships into definitive development, integration, supply, or other commercial arrangements, the risk that Innoviz's products do not achieve or maintain their anticipated performance, under field and operational conditions, and Innoviz's expectations regarding the impact of geopolitical developments in the Middle East including the evolving conflict in Israel on its ongoing operations. The foregoing list is not exhaustive. You should carefully consider such risks and the other risks and uncertainties described in Innoviz's annual report on Form 20-F for the year ended December 31, 2025 filed with the U.S. Securities and Exchange Commission ("SEC") on March 4, 2026, and in other documents filed by Innoviz 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. Readers are cautioned not to put undue reliance on forward-looking statements, and Innoviz 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. Innoviz gives no assurance that it will achieve its expectations. 

Innoviz Technologies logo

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SOURCE Innoviz Technologies

FAQ

What did Innoviz Technologies (NASDAQ: INVZ) announce on August 4, 2026 about its LiDAR perception stack?

Innoviz announced it will develop and validate a LiDAR-based perception stack for highway driving with a top 10 global automotive OEM. According to Innoviz, the project uses its InnovizTwo LiDAR and perception software on an NVIDIA-powered compute platform to explore future OEM programs.

What is included in the LiDAR-based perception stack Innoviz is developing for highway driving?

The stack includes Point Cloud Plus (PC+), obstacle detection, object detection, and object classification tailored for highway operational design domains. According to Innoviz, it classifies drivable versus non-drivable areas, flags in-path hazards, and categorizes road users such as pedestrians, cars, trucks, and two-wheelers.

How will NVIDIA hardware be used in Innoviz’s new LiDAR perception stack project with a global OEM?

NVIDIA hardware will power the compute platform running the Innoviz perception software for the highway LiDAR stack. According to Innoviz, its InnovizTwo LiDAR and software will operate on this NVIDIA-powered platform to deliver real-time 3D understanding for highway driving applications.

What is a highway operational design domain (ODD) in the Innoviz LiDAR collaboration for INVZ investors?

A highway operational design domain (ODD) defines conditions where automated functions are intended to operate, focused on highway use. According to Innoviz, the collaboration targets a complete LiDAR-based perception stack specifically for this highway ODD to explore potential future OEM vehicle programs.

Which Physical AI functions will Innoviz’s LiDAR perception stack provide for the top 10 automotive OEM?

The stack will provide Physical AI core functions such as Point Cloud Plus, obstacle detection, object detection, and object classification. According to Innoviz, these capabilities enable precise, real-time 3D scene understanding for identifying drivable space, hazards, and different road-user categories on highways.

How does InnovizTwo LiDAR figure into Innoviz Technologies’ August 2026 OEM collaboration?

InnovizTwo is the LiDAR sensor platform at the core of the new highway perception stack project. According to Innoviz, InnovizTwo works with its perception software on an NVIDIA-powered compute platform to support advanced classification of obstacles, objects, and road users for highway driving.