TorqueField is a foundation model purpose-built for field operations at scale, from crop counting and selective harvesting to heavy equipment control and worksite safety.

Runtime stability real-time edge-native
Examples only, deploy in weeks
Performance in real outdoor conditions
Outdoor operations are defined by constant variability across terrain, lighting, weather, and the materials machines interact with.












Run TorqueField as a full robotics stack, or drop in just the pieces you need: perception, physical reasoning, or planner cost functions. It fits the architecture you already have.
Because TorqueField reasons about physics instead of memorizing examples, it learns new crops, sites, and tasks with 1000x less training data than conventional approaches. More done with less data.
Built to run on the edge, on the equipment itself, TorqueField is available as ready to use hardware kits.