Innoviz Technologies and Cogniteam Partner to Deliver Advanced Safety and Security Solutions with InnovizSMART and Cogniteam's Analytics
Partnership combines InnovizSMART's Long-Range LiDAR with Cogniteam's AI-driven analytics for an off-the-shelf solution to enhance real-time safety, security and threat detection
TEL AVIV, Israel, June 18, 2025 /PRNewswire/ -- Innoviz Technologies Ltd. (NASDAQ:INVZ) (the "Company" or "Innoviz"), a leading Tier-1 direct supplier of high-performance, automotive-grade LiDAR sensors and perception software, announced today a partnership with Cogniteam Ltd., the AIoT and robotics cloud platform. The collaboration combines Innoviz's cutting-edge InnovizSMART Long-Range LiDAR with Cogniteam's robust analytics and management platform to offer an innovative, turnkey observation solution for a wide range of safety and security applications.
InnovizSMART enables accurate object detection even in harsh outdoor conditions, like dust, sunlight, and rain, and has outstanding long-range capabilities of up to 400 meters. When integrated with Cogniteam's intelligent analytics, the combined solution allows real-time monitoring and enhanced threat detection by sending instant notifications to the customer's mobile device, reducing response time and improving decision-making processes. With Innoviz's Long-Range LiDAR and Cogniteam's advanced software, the combined solution provides a comprehensive, plug-and-play system for users.
"We are excited to partner with Cogniteam to bring a state-of-the-art, integrated security solution to the market," said Elad Hofstetter, Chief Business Officer at Innoviz. "InnovizSMART's high-performance LiDAR, combined with Cogniteam's AI-powered analytics, offers an improved solution for real-time monitoring, object detection, and threat identification. This partnership aligns with our commitment to providing intelligent tools that enhance safety and security across various industries."
"Cogniteam's platform, combined with InnovizSMART's advanced LiDAR, makes it easier than ever for organizations to protect critical infrastructure," said Dr. Yehuda Elmaliah, Co-founder and CEO of Cogniteam. "Together, we are providing an intelligent, scalable solution that empowers customers to quickly deploy and monitor no-entry zones, ensuring safety and security at all times."
InnovizSMART Long-Range is a rugged and reliable high-performance LiDAR sensor tailored for smart applications such as security, mobility, aerial, robotics, and intelligent traffic management. It features low-power consumption, a uniform field of view, and high-resolution 3D point cloud, that enables accurate object detection at distances of up to 400 meters.
Already deployed in security settings, the InnovizSMART and Cogniteam solution is an off-the-shelf, turnkey offering, ready for immediate use by safety and security professionals. This integration exemplifies the growing potential of LiDAR and AI-powered analytics to transform the safety and security industry.
For more information about InnovizSMART Long-Range, email: [email protected].
About Innoviz
Innoviz is a global leader in 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. Operating across the U.S., Europe, and Asia, Innoviz has been selected by internationally recognized premium car brands for use in consumer vehicles as well as by other commercial and industrial leaders for a wide range of use cases. For more information, visit innoviz.tech.com.
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Forward Looking Statements
This announcement contains certain forward-looking statements within the meaning of the federal securities laws, including statements regarding the services offered by Innoviz, the anticipated technological capability of Innoviz's products, 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," "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 convert design wins into definitive orders and the magnitude of such orders, the ability to identify and realize additional opportunities, potential changes and developments in the highly competitive LiDAR technology and related industries, and our expectations regarding the impact of the evolving conflict in Israel to our ongoing operations. The foregoing list is not exhaustive. You should carefully consider such risk and the other risks and uncertainties described in Innoviz's annual report on Form 20-F for the year ended December 31, 2024, filed with the U.S. Securities and Exchange Commission ("SEC") on March 12, 2025 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.
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