When.com Web Search

  1. Ads

    related to: aeva lidar stock predictions

Search results

  1. Results From The WOW.Com Content Network
  2. Aeva - Wikipedia

    en.wikipedia.org/wiki/Aeva

    Aeva was founded in 2016 by entrepreneurs Soroush Salehian and Mina Rezk, who previously worked in Apple's Special Projects Group and at Nikon. [3] Following a $3.5 million seed round in 2017, the company came out of stealth mode and raised a subsequent $45 million Series A from Lux Capital and Canaan Partners. [4]

  3. Aeva snags VW investment with smaller, longer-range lidar - AOL

    www.aol.com/news/aeva-snags-vw-investment...

    Lidar startup Aeva has deepened its relationship with VW Group with a new investment from Porsche Automobili Holding SE, thanks to a next-generation sensor that is headed for the ID Buzz AV, an ...

  4. Lidar startup Aeva to go public via $2.1 billion SPAC merger

    www.aol.com/news/lidar-startup-aeva-public-via...

    Aeva, a Mountain View, California-based lidar company started by two former Apple engineers and backed by Porsche SE, is merging with special purpose acquisition company InterPrivate Acquisition ...

  5. Aeva to supply sensors to Daimler Truck in $1 billion deal - AOL

    www.aol.com/news/aeva-supply-sensors-daimler...

    Aeva Technologies on Tuesday said that it has reached a $1 billion deal with Germany's Daimler Truck to supply sensors for self-driving trucks that are expected to hit U.S. roads in 2027. Aeva, a ...

  6. Luminar Technologies - Wikipedia

    en.wikipedia.org/wiki/Luminar_Technologies

    Luminar Technologies Inc. is an American technology company that develops vision-based lidar and machine perception technologies, primarily for self-driving cars.The company's headquarters and main research and development facilities are in Orlando, Florida; a second major office is located in Palo Alto, California.

  7. Stock market prediction - Wikipedia

    en.wikipedia.org/wiki/Stock_market_prediction

    Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on an exchange. The successful prediction of a stock's future price could yield significant profit. The efficient market hypothesis suggests that stock prices reflect all currently available information and any ...