INSUBCONTINENT EXCLUSIVE:
Four years ago, mathematician Vlad Voroninski saw an opportunity to remove some of the bottlenecks in the development of autonomous vehicle
technology thanks to breakthroughs in deep learning.Now, Helm.ai, the startup he co-founded in 2016 with Tudor Achim, is coming out of
stealth with an announcement that it has raised $13 million in a seed round that includes investment from A.Capital Ventures, Amplo,
Binnacle Partners, Sound Ventures, Fontinalis Partners and SV Angel
More than a dozen angel investors also participated, including Berggruen Holdings founder Nicolas Berggruen, Quora co-founders Charlie
David Petraeus, Matician co-founder and CEO Navneet Dalal, Quiet Capital managing partner Lee Linden and Robinhood co-founder Vladimir
Tenev, among others.Helm.ai will put the $13 million in seed funding toward advanced engineering and R-D and hiring more employees, as well
as locking in and fulfilling deals with customers.Helm.ai is focused solely on the software
Instead, it is agnostic to those variables
In the most basic terms, Helm.ai is creating software that tries to understand sensor data as well as a human would, in order to be able to
Autonomous vehicle developers often rely on a combination of simulation and on-road testing, along with reams of data sets that have been
skip those steps, which expedites the timeline and reduces costs
The startup uses an unsupervised learning approach to develop software that can train neural networks without the need for large-scale fleet
for autonomous vehicles, Voroninski explained
technology from his undergrad adviser who had participated in the DARPA Grand Challenge, a driverless car competition in the United States
funded by the Defense Advanced Research Projects Agency
breakthroughs in deep learning created opportunities to jump in
systems found in passenger vehicles and Level 4 autonomous vehicle fleets.Helm.ai does have customers, some of which have gone beyond the
