Forge
Physics-Infused Synthetic Data Generation
Forge uses physics-grounded simulation to create realistic training environments and edge-case scenarios without requiring extensive manual data collection.
When operational failures occur, minimal telemetry is used to generate thousands of corrective training scenarios automatically.
Capabilities
Outcomes
Reduction in Data Collection Costs
Faster Model Iteration
Improved Model Robustness
Rapid Recovery from Edge Failures
Automated Imitation Learning
Forge transforms traditional data collection workflows into automated synthetic learning pipelines. Instead of waiting weeks to collect new training examples, synthetic environments are generated automatically to accelerate model improvement.
Haptic Intelligence
Forge extends beyond visual perception. By incorporating physics-grounded interaction modeling, autonomous systems can learn not only how environments appear, but how they behave during physical interaction.
Build the Future of Physical AI Systems
Accelerate the journey from synthetic worlds to real-world deployment with a platform designed for continuous learning, adaptation, and scale.
