{"version":1,"type":"story","url":"https://digestai.news/story/helm-ai-secures-70m-in-commercial-contracts-for-physical-ai-models","json":"https://digestai.news/story/helm-ai-secures-70m-in-commercial-contracts-for-physical-ai-models.json","markdown":"https://digestai.news/story/helm-ai-secures-70m-in-commercial-contracts-for-physical-ai-models.md","slug":"helm-ai-secures-70m-in-commercial-contracts-for-physical-ai-models","headline":"Helm.ai secures $70M in commercial contracts for physical AI models","summary":"Helm.ai announced it has signed $70 million in commercial contracts over the past year for its foundation models designed for physical AI applications. The deals span global automotive OEMs, Tier 1 suppliers, and industrial automation firms, with automotive serving as its flagship sector. The company also works with clients in mining and construction, according to Vladislav Voroninski, Helm.ai’s founder and CEO, who noted the contracts reflect real-world demand for its technology.\n\nHelm.ai’s approach, called ‘deep teaching,’ trains models to perceive and act in environments without relying on vast driving data. The methodology separates perception from action, improving data efficiency—critical for robotics, where data collection is limited. The company’s models generalize across environments, from autonomous vehicles to mining and construction, and are designed to meet real-time latency and safety constraints. Helm.ai’s software is already deployed in SAE Level 2 through 4 AV programs and production-track perception systems in heavy industry.","keyPoints":["Helm.ai signed $70M in commercial contracts for physical AI models over 12 months","Contracts span automotive OEMs, Tier 1 suppliers, and industrial automation firms","‘Deep teaching’ methodology improves data efficiency for robotics and autonomous systems"],"whyItMatters":"Helm.ai’s commercial traction validates foundation models for physical AI, proving they can scale beyond research into real-world deployments like AVs, mining, and robotics. Its data-efficient approach could accelerate adoption in industries with limited training data.","category":{"slug":"robotics","name":"Robotics & Physical AI","url":"https://digestai.news/category/robotics"},"entities":{"companies":["Helm.ai","automotive OEMs","Tier 1 suppliers","industrial automation companies"],"models":[],"people":["Vladislav Voroninski"]},"firstPublishedAt":"2026-10-08T15:55:31Z","updatedAt":"2026-10-08T15:55:31Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"The Robot Report","title":"Helm.ai reaches $70M in signed commercial contracts for its foundation models","url":"https://therobotreport.com/helm-ai-reaches-70m-signed-commercial-contracts-foundation-models","publishedAt":"2026-10-08T15:55:31Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":null,"cite":{"text":"Digest AI, \"Helm.ai secures $70M in commercial contracts for physical AI models\", 8 October 2026, https://digestai.news/story/helm-ai-secures-70m-in-commercial-contracts-for-physical-ai-models","publisher":"Digest AI","title":"Helm.ai secures $70M in commercial contracts for physical AI models","datePublished":"2026-10-08T15:55:31Z","url":"https://digestai.news/story/helm-ai-secures-70m-in-commercial-contracts-for-physical-ai-models"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}