Helm.ai raises US$26m in funding for autonomous software

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Helm.ai, the creator of next-generation AI software for autonomous driving, has announced it has raised US$26m in series B funding, which it will use to accelerate product expansion of its scalable approach to autonomous driving software.

“Helm.ai is taking a leading position in autonomous driving via their vision-first unsupervised learning approach to ADAS and L4, in addition to a wide variety of robotics and automation markets,” said Sheel Tyle of Amplo, a returning investor which led the round. “We’re excited to see the many applications made possible by Helm.ai.”

This funding comes as Helm.ai reported its best year in terms of revenue generation, along with commercial contracts with multiple OEMs, and partnerships with leading Tier 1, chip and sensor companies, including previously announced partnerships with Nvidia and Honda via its Xcelerator program.

“This Series B funding enables Helm.ai to further our mission of developing cutting edge artificial intelligence software and applying it to self-driving cars and the automation of robotics at large,” said Vlad Voroninski, CEO of Helm.ai.

“We are well positioned at this stage to expand our product line and continue to deliver market-leading ADAS and L4 solutions to OEMs and fleets, as well as to form additional partnerships with Tier 1s, sensor, and chip companies.”

Unlike traditional deep learning systems, Helm.ai’s Deep Teaching unsupervised learning technology leverages mathematical modeling to quickly and cost-effectively train on large scale data sets with little to no human intervention, leading to, the company says, state-of-the-art accuracy on a variety of automotive compute platforms.

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Lawrence has been covering engineering subjects – with a focus on motorsport technology – since 2007 and has edited and contributed to a variety of international titles. Currently, he oversees Automotive Powertrain Technology and Professional Motorsport World magazines as editor.

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