Innoviz Announces New Style and design Get With Main Tier-1 Automotive Supplier For its Autonomous Shuttle Application

Christina Wilkins

TEL AVIV, Israel, May possibly 12, 2021 /PRNewswire/ —  Innoviz Technologies (NASDAQ: INVZ), a technological know-how chief of significant-overall performance, stable-condition LiDAR sensors and perception software, was picked by a leading Tier-1 automotive provider as the LiDAR provider for its multi-12 months autonomous shuttle plan. Innoviz will deliver its InnovizOne solid-condition LiDAR […]

TEL AVIV, Israel, May possibly 12, 2021 /PRNewswire/ —  Innoviz Technologies (NASDAQ: INVZ), a technological know-how chief of significant-overall performance, stable-condition LiDAR sensors and perception software, was picked by a leading Tier-1 automotive provider as the LiDAR provider for its multi-12 months autonomous shuttle plan. Innoviz will deliver its InnovizOne solid-condition LiDAR models to the business for use on its shuttles, which are anticipated to become operational by the close of 2022 and improve the encounter of transportation. The shuttles are predicted to realize degree 4 autonomy, permit entirely automated driving and be made use of to transportation both passengers and cargo in a variety of geo-fenced configurations. The arrangement is predicted to create hundreds of thousands and thousands in earnings all over the existence of the system.

The new structure earn followed a stringent two-and-a-50 percent-calendar year due diligence method executed by the Tier-1 automotive supplier. As portion of the choice process, the supplier finished a thorough evaluation of Innoviz’s product or service dependability, producing processes and maturity, automotive skills, corporate processes certifications and much more.

In contrast to high priced mechanical spinners set up on auto roofs, InnovizOne is a lower-value, automotive-grade, light-weight remedy. InnovizOne is built to make sure that the shuttles circumvent even the smallest of hurdles. A quantity of sensors put in a variety of places all-around the shuttle deliver equally short and lengthy-selection eyesight, eradicating blind places and improving basic safety.

“It really is a new era in the sector and for Innoviz. This key design and style acquire for a foremost autonomous shuttle system validates our reputation as the best high quality service provider of automotive-quality LiDAR and perception application,” mentioned Omer Keilaf, CEO and Co-Founder of Innoviz. “Our technology’s versatility allows us to operate with consumers in just about each and every vertical as they do the job to tackle the crucial transportation problems of our time. As we go on to ramp up output for the BMW method and now our agreement with this primary Tier-1 supplier, we are doing work to funnel new prospects into the pipeline and supply the LiDAR methods vital for their businesses.”

Innoviz Technologies is planning for the upcoming high-volume manufacturing of its InnovizOne LiDAR sensor for autonomous vehicle systems, like this autonomous shuttle program as well as the BMW Group’s next generation of autonomous cars.  

About Innoviz Technologies
Innoviz is a main supplier of technologies that will set autonomous cars on roads. Innoviz’s LiDAR technologies can “see” superior than a human driver and satisfies the automotive industry’s rigid anticipations for effectiveness, basic safety and value. Chosen by BMW for its completely autonomous motor vehicle application, Innoviz’s engineering will be deployed in BMW’s purchaser vehicles. Innoviz is backed by leading-tier strategic associates and investors, which include SoftBank Ventures Asia, Samsung, Magna Worldwide, Aptiv, Magma Venture Partners, and other people. For more information and facts, take a look at www.innoviz.tech.

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Forward On the lookout Statements

This announcement consists of selected forward-wanting statements inside the indicating of the federal securities guidelines, together with statements regarding the providers offered by Innoviz, the predicted technological functionality of Innoviz’s items, the markets in which Innoviz operates and Innoviz’s projected profits and other long term money and operational outcomes. These forward-wanting statements usually are determined by the terms “feel,” “plan,” “count on,” “anticipate,” “estimate,” “intend,” “approach,” “potential,” “option,” “plan,” “may,” “really should,” “will,” “would,” “will be,” “will proceed,” “will probably result,” and very similar expressions. Forward-looking statements are predictions, projections and other statements about potential situations that are centered on current expectations and assumptions and, as a outcome, are subject matter to threats and uncertainties. Several elements could cause real future gatherings to differ materially from the ahead-seeking statements in this announcement, together with but not minimal to, the potential to put into practice business enterprise programs, forecasts, and other expectations, the capacity to recognize and notice more opportunities, and probable variations and developments in the highly competitive LiDAR technology and related industries. The foregoing list of things is not exhaustive. You ought to diligently think about the foregoing variables and the other pitfalls and uncertainties described in Innoviz’s yearly report on Type 20-F filed with the SEC on April 21, 2021 and other files submitted by Innoviz from time to time with the SEC. These filings detect and tackle other significant hazards and uncertainties that could induce true gatherings and benefits to vary materially from all those contained in the ahead-on the lookout statements. Forward-hunting statements talk only as of the day they are made. Visitors are cautioned not to put undue reliance on ahead-on the lookout statements, and Innoviz assumes no obligation and does not intend to update or revise these forward-seeking statements, no matter if as a final result of new data, upcoming gatherings, or in any other case. Innoviz gives no assurance that it will achieve its expectations.

Source Innoviz Technologies

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