DeepScale’s deep neural network software detects vehicles, pedestrians and objects of significance for automated driving, using low-power automotive-grade chips.

DeepScale has announced a $15 million Series A funding investment led by Point72 and next47.

DeepScale is using efficient deep neural networks (DNNs) on small, low-cost, automotive-grade sensors and processors to transform the accuracy of perception systems, which interpret and classify sensor data in real-time, for automated vehicles. In doing this, DeepScale is bringing driver-assistance and autonomous driving to mass-produced vehicles at all price-points.

As traffic fatalities continue to claim more than a million lives a year worldwide, the recent Series A funding will enable the expansion of DeepScale’s engineering team and technology advancements and, ultimately, will support the company’s mission to help make self-driving vehicles and roads safer.

DeepScale has a number of strategic partnerships with Tier 1 suppliers, OEMs and semiconductor suppliers to provide automated driving perception solutions, including Visteon and HELLA-Aglaia Mobile Vision GmbH, a major German automotive supplier.

Additional Series A funding was provided by existing investor Autotech Ventures and Trucks Venture Capital, two firms known for their automotive expertise. Previous seed investors included some of the most sophisticated seed investors in Silicon Valley such as Andy BechtolsheimAli Partovi, Lip-Bu Tan and Jerry Yang’s AME Cloud Ventures.

Building on DeepScale’s direct customer engagements that are bringing safer, more efficient DNNs to market, the company’s perception software will also be available for prototyping through development kits that DeepScale will offer in the second half of 2018.

Source: DeepScale