Helm.ai said it has commercial partners spanning perception, full-stack autonomous driving, automated data labeling, and generative simulation. | Source: Helm.ai

Helm.ai today said it has signed $70 million in commercial contracts for its foundation models for physical AI over a 12-month period. These contracts spanned global automotive OEMs, Tier 1 suppliers, and industrial automation companies.

The Redwood City, Calif.-based company considers the automotive industry as its flagship deployments, which involve deep partnerships. But, it also has partnerships with customers in mining and construction.

“Those kinds of projects coming to that level of maturity are super exciting for us, because it demonstrates that there’s a real demand for the technology that we’ve built,” Vladislav Voroninski, founder and CEO of Helm.ai, told The Robot Report. “It’s clearly crossing that threshold into actually being deployed in the real world,”

“Also, as a company, we’re now on a path to break even, which is rare in this space, and it’s a testament to the capital efficiency of our approach,” he said.

Founded in 2016, Helm.ai’s software already spans SAE Level 2 through 4 autonomous vehicle (AV) programs, production-track perception in heavy industry, and expanding robotics development.

Helm.ai trained its foundation models using its unsupervised “deep teaching” methodology to master the structure of the physical world itself. This separates the problem of understanding an environment from the problem of acting in it.

“The way we attack the problem is different from thinking about it as there’s some sensor data in, and a decision comes out,” Voroninski said.

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