Cognata Raises $5M to Launch Deep Learning Simulation, Dramatically Speeds Time to Market for Autonomous Vehicles

16 Jun

Cognata, Ltd., has announced the launch of its simulation engine, supported by $5 million in funding from Emerge, Maniv Mobility, and Airbus Ventures. The company will use the funding to accelerate product development and commercialization of its new solution, which combines artificial intelligence, deep learning, and computer vision in a simulation platform. The platform enables autonomous vehicle developers to shave years off the long, costly process of road-testing autonomous vehicles.

While autonomous driving is on its way to roadways everywhere, according to Rand Corp such vehicles will need to drive 10 billion miles in order to reach a human-level error rate —and that can take years to achieve. Even the largest developers of autonomous vehicles have only accumulated a few million miles in autonomous mode after years of testing.

Led by Danny Atsmon, a widely respected deep-learning expert who formerly served as Harman’s (NYSE:HAR now Samsung) director of ADAS and senior director of machine learning, Cognata provides a realistic virtual automotive environment that simulates real-world test driving and generates fast, highly accurate results. The simulation engine reproduces sensor input in high fidelity by emulating interactions with real-world materials. Furthermore, Cognata can recreate cities anywhere in the world, allowing a dramatically expanded range of testing scenarios beyond the current limited geographies, to the great benefit of any OEM and Tier-1 autonomous vehicle manufacturer.

“Every autonomous vehicle developer faces the same challenge—it is really hard to generate the numerous edge cases and the wide variety of real-world environments,” explains Atsmon. “Our simulation platform rapidly pumps out large volumes of rich training data to fuel these algorithms. We’re excited to introduce a scalable, safe, and cost-effective solution that not only accelerates the development and validation of autonomous vehicles, but also ensures that vehicles can be much safer when they’re deployed in the real world.”

Dovi Ollech, founder and managing partner of Emerge, who led the round, notes that “Danny and the Cognata team have shown rapid progress and achievements since their founding. Their deep expertise in deep learning and broad knowledge of the automotive ecosystem helped them develop an extremely innovative solution for one of the major pain points of this industry.”

Olaf Sakkers of Maniv Mobility emphasizes that “time to market is of critical importance for the broad spectrum of players working to develop autonomous systems, and the quality and volume of their training data fuels their progress. Cognata is essentially building a data refinery using high-fidelity simulation to pump out data that will accelerate the arrival of autonomous vehicles.”

François Auque of Airbus Ventures adds, “After extensive technical evaluation of the team and the technology, we look forward to using Cognata’s technology, which can accelerate the time to market for land-based autonomous systems as well as the kind of aerial systems we are focusing on.”

Facebook Comments