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Perception for Autonomous Vehicles

Perception for Autonomous Vehicles

DeepScale is a venture-backed Silicon Valley startup developing artificial intelligence perception software for driver-assistance and autonomous driving, with a focus on implementing efficient deep neural networks on automotive-grade processors. DeepScale's deep neural nets (DNNs) use data from various sensors to help vehicles of all automated driving levels better understand the world around them. DeepScale has strategic partnerships with OEM, Tier 1 and semiconductor companies that aim to bring improved safety to mass-produced vehicles through open collaboration.

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Professor ( UC Berkeley), entrepreneur (co-founder DeepScale), and private investor. Kurt's most recent profitable exits include Coverity and Tensilica.
CEO at DeepScale
Total raised

$18,000,000

Funded over

2 rounds

Latest round (Apr 2018)

Series A

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