The Foundation Model for Heavy Equipment

TorqueField is a physics-reasoning foundation model for machines operating across critical industries, from agriculture and heavy equipment to airports and infrastructure.

3D illustration of a crop field with agricultural machinery showing TorqueField use case locations

Container Loading & Unloading

Reasons about 3D stability, occlusions and reachability in complex box stacks.

Humanoid Material Handling

Long-horizon adaptable reasoning across a variety of tasks.

Kitting & Repackaging

Contact-rich and multi-step manipulation policies.

Mixed-SKU Sorting

Reflective film, polybags, items that shift on the belt. ≤30ms per pick decision.

Perimeter Security & Site Surveillance

Perimeter security and site surveillance

Tracks people, vehicles, and drones across large sites in real time.

03 · Kitting & Repackaging

Contact-rich and multi-step manipulation policies.

Container Loading & Unloading

Humanoid Multi-Task Deployment

Kitting & Repackaging

Mixed-SKU Sorting

Perimeter Security & Site Surveillance

Situational Awareness & Site Safety

Active work sites are shared environments that change through the day, with people moving between machines, vehicles crossing working paths, and equipment shifting position while dust, glare, darkness, and weather affect what any single sensor returns. TorqueField detects, classifies, and tracks people, vehicles, equipment, and other hazards across RGB, thermal, LiDAR, and radar streams. Its world model reasons about motion, proximity, and physical context in real time, giving autonomy systems what they need to slow, reroute, or stop.

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Agriculture & Crop Intelligence

Agricultural machines work in environments where almost nothing repeats, since plants grow differently row to row, fruit sits partially occluded behind leaves, terrain changes continuously, and the physical state of a crop matters as much as what a camera can see. TorqueField reasons about plants and their physical environment to support selective harvesting, fruit counting, spraying, pruning, and weeding, and the same physical reasoning transfers across crops, fields, and seasons with far less task-specific data.

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Heavy Equipment Intelligence

Heavy equipment works through large forces, long reach, and high-consequence contact with the physical world, on terrain that shifts under the machine and with loads that behave differently as they move, where a small error in position or contact becomes material damage, rework, downtime, or a safety incident. TorqueField reasons about geometry, contact, terrain, loads, and material behavior before the machine acts, supporting excavation, drilling, welding, boom articulation, and material handling.

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Autonomous Field Operations

Construction sites, mines, farms, and industrial facilities change continuously as terrain gets reshaped, equipment moves, and work zones open and close, so a safe path from yesterday may not exist today. TorqueField maintains a spatio-temporal world model of the operating environment, reasoning about terrain, equipment, people, obstacles, and site conditions as they change over time, giving autonomous and semi-autonomous machines the context to navigate, plan, and execute across large sites.

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Perimeter Security & Site Surveillance

Large industrial, energy, and agricultural sites are difficult to monitor continuously. People, vehicles, and drones can cross vast perimeters undetected, and weather, darkness, and terrain limit what long-range sensors resolve. TorqueField detects, classifies, and tracks personnel, vehicles, and aerial activity in real time across visual, thermal, infrared, and other sensor streams. Its physical reasoning holds as conditions shift through the day, giving teams persistent situational awareness.

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<30ms

Latency that maximizes throughput

~50

Examples only, deploy in weeks

99.9%

Accuracy on production warehouse lines

Runs on the Machines You Already Operate

TorqueField deploys across heavy equipment, drones, and fixed site infrastructure. It reasons across RGB, thermal, LiDAR, radar, and multispectral inputs, running directly at the edge on NVIDIA Orin, Thor, and custom SoCs.

Physics reasoning built for the field

TorqueField combines perception, physical understanding, and spatio-temporal reasoning into a world model of the site it operates on, tracking how terrain, weather, and materials evolve while work happens. That model is what carries across new crops, sites, and operations with a fraction of the task-specific data.

Modular Architecture

Run TorqueField as a complete stack, or integrate single components: perception, physical reasoning, or planner cost functions. Each one fits an existing architecture on its own, without retraining the full model.

Physics Reasoning

A world model of the site that holds terrain, contact, and material behavior together. It reasons through the interaction before the machine commits to an action.

Runs at the Edge

Real-time inference on the equipment itself, so operation stays independent of connectivity across large and remote sites. Available as ready-to-use hardware kits.

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Get Your Model

Tell us what you're running and the workflow you want to crack — we'll deliver a model tuned to your deployment and our team will reach out within one business day.

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