The Robotics Model Built for Messy Warehouse Conditions

TorqueFlow is a physics-reasoning foundation model built for trailer unloading, mixed-SKU sorting, kitting, and freight handling in real warehouse environments.

3D wireframe illustration of a warehouse environment showing robotic manipulation, storage racks, sorting areas, and loading docks, the operational conditions TorqueFlow warehouse robotics AI is built for.

<30ms

Latency that maximizes throughput

~50

Examples only, deploy in weeks

99.9%

Accuracy on production warehouse lines

Where Warehouse Robotics Gets Hard

Real warehouse operations are defined by constant variability across products, packaging, and workflows.

Packed trailer filled with stacked boxes at irregular angles, representing high-variability conditions for warehouse robotics AI.

Packed trailers & cluttered totes

AI vision detection overlay on off-axis, occluded, and reflective freight packages inside a trailer, showing physics-reasoning AI robotics applied to real unloading conditions.

Off axis, occluded & shiny freight

Robotic arm performing contact-rich cable manipulation on an industrial device, demonstrating precise handling in warehouse automation workflows.

Contact-rich manipulation

Robotic gripper handling varying SKU types and packaging formats, illustrating adaptive warehouse robotics AI across changing workflows.

Changing SKUs & workflows

TorqueFlow Use Cases

Built to Integrate With the Robots You're Already Running

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Built for deployment across robotics and compute platforms

TorqueFlow deploys across industrial manipulators, trailer-entry robots, mobile manipulators, cobots, dexterous robotic systems, delta robots, SCARAs, inspection stations, gantry systems, and AMRs. The model runs on NVIDIA Orin, Thor, RTX GPUs, and custom edge SoCs, delivering low-latency inference directly on deployed robotic systems.

Physics reasoning built for warehouse conditions

TorqueFlow combines perception, spatial reasoning, and physical understanding to model how objects behave and interact in warehouse environments. This allows the system to generalize across new SKUs, layouts, and workflows with far less task-specific data than traditional approaches.

End-to-End or Modular Deployment

Deploy TorqueFlow as a complete robotics stack or integrate individual components including perception, physical reasoning, and planner cost functions.

Industrial robotic arm manipulating an object

Physics-reasoning AI

Understands geometry, contact, and material behavior to handle deformable packaging, reflective surfaces, and occluded objects.

Edge compute device for on-device robotics inference

Warehouse-Optimized and Edge-Ready

Designed for production throughput and deployed on-device with no cloud dependency.

Bring us your hardest warehouse workflow

Share your SOP, robot platform, and operating environment. We’ll evaluate and deliver a TorqueFlow model tailored to your deployment.

Get a tailored model