Innoviz Technologies Announces Advanced Development Program Combining LiDAR and On-Sensor Perception Software for Future OEM Autonomous Vehicle Program
Innoviz enters into a new agreement with a leading autonomous driving technology company to evaluate the development of enhanced on-sensor perception software
As autonomous vehicle programs advance toward series production, OEMs require that perception capabilities extend beyond the central compute stack and execute directly on the sensor itself. This on-sensor approach is designed to deliver standardized, safety-critical outputs that operate independently of the vehicle's broader processing architecture, a design consideration for the most demanding autonomous applications. The agreement engages Innoviz to evaluate these capabilities natively within the LiDAR it provides, generating additional perception capabilities that may integrate directly into the partner's autonomous vehicle architecture.
"Being selected to evaluate perception software on top of an existing LiDAR supply role is a strong signal that what we have built is being recognized across the full autonomy stack," said Omer Keilaf, CEO and Founder of Innoviz Technologies. "This is Physical AI in practice, with intelligence that lives in the sensor itself, acting on the real world in real time. The fact that a leading autonomous driving program has chosen Innoviz for both the hardware and the evaluation for development of embedded perception reflects the confidence the industry is placing in our technology, and we are proud to be contributing to the future of autonomous vehicles at this level."
About Innoviz
Innoviz is a leading provider of LiDAR technology, serving as a Tier 1 supplier to the world's leading automotive manufacturers and working towards a future with safe autonomous vehicles on the world's roads.
Innoviz's LiDAR and perception software "see" better than a human driver and reduce the possibility of error, meeting the automotive industry's strictest expectations for performance and safety. Innoviz's LiDAR sensors are designed to deliver exceptional range, resolution, and reliability, providing accurate 3D sensing in harsh weather conditions. Operating across the
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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 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 ability of evaluation engagements to advance to subsequent phases or result in definitive development, integration, or supply arrangements, the ability of technical evaluations to meet applicable specifications or performance thresholds, and Innoviz's expectations regarding the impact of geopolitical developments in the
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