Helm.ai secures $70M in commercial contracts for physical AI models

Helm.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.