Ouster, a U.S. startup that makes lidar sensors for self-driving cars and smart cities, said on Tuesday it has agreed to go public through a merger with special purpose acquisition company (SPAC) Colonnade Acquisition Corp. What we know about the Ouster IPO. Reuters coverage of the deal indicates that the joining will help Ouster to “rapid scale across key end markets.”. Lidar start-up Ouster agrees $1.9 bln deal to go public. Around 10 days back, Israel-based LIDAR startup Innoviz announced plans to go public by merging with a SPAC called Collective Growth Corporation. The most recent LIDAR developer to announce IPO plans is the U.S. startup Ouster, which will go public by merging with a special purpose acquisition company (SPAC), Colonnade Acquisition Corp CLA. Luminar’s proprietary software designed to unlock full lidar capabilities will enhance automakers’ ability to deliver high-speed highway autonomy in commercial series production scale. The company expects to generate revenues of 15 million in 2020, which is expected to jump to $837 million by 2025. You still haven't turned off your adblocker or allowed our site. Dec 22 (Reuters) - Ouster Inc, a U.S. startup that makes lidar sensors for self-driving cars and smart cities, said on Tuesday it has agreed to go public through a merger with special purpose acquisition company (SPAC) Colonnade Acquisition Corp (CLA Ouster, which expects to generate around $19 million in revenue in 2020, stood out from other companies in the space that Colonnade had looked at buying because its business is already generating revenue, Trafelet said. Per the company’s latest presentation, around 175 projects across different industries can potentially lead to shipments of around 9 million units by 2025. The race to the LIDAR market is gaining traction, with companies vying to supply automakers with the key sensor that would help them notch up their driverless game. The SiPM dToF LIDAR platform developed by ON Semi offers a comprehensive solution for affordable, single point LIDAR for industrial range finding. 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