TorqueAGI delivers Physical AI that enables robots to handle complex, real-world tasks, with high reliability and minimal data.
TorqueAGI delivers Physical AI that enables robots to handle complex, real-world tasks, with high reliability and minimal data.
From data efficiency to real-world robustness, TorqueAGI empowers robotics teams to go from years to weeks in developing Al models for perception, reasoning and action.
Proven on 50,000+ hours of robotic data — TorqueAGI delivers reliable perception, reasoning, and planning in real-world conditions.
TorqueAGI masters new tasks with 1,000x less data – cutting months of field collection into days of deployment.
TorqueAGI runs natively on edge hardware — delivering low-latency, interpretable, and reliable performance from lab to field.
TorqueAGI powers real-world robots, enabling them to navigate dynamic environments, handle edge cases, and reliably perform mission-critical tasks in the field.

Our AI solution enables robotic arms to handle objects reliably in dynamic, unmapped warehouses using spatially-aware, physics-informed models, ensuring precise performance and operational safety.
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Robots can learn quickly to assemble complex parts in dynamic environments using our physics-informed AI foundation models. These systems adapt to variable components, motion, and materials with precision and consistency.

Our AI models enable real-time fault detection and predictive reasoning, allowing robots to inspect confined, critical environments like tunnels, pipe networks, bridges, and airports.

AI supports secure autonomy in GPS-denied or adversarial conditions. Key capabilities include reliability, on-device explainability, model isolation, and auditable behavior for mission assurance.

Delivering rugged autonomy via onboard compute, running edge-native models with temporal fusion and physics-informed priors for high-risk zones., ensuring operational safety and reliability.

Lighting, terrain, and crop variety vary across fields, but retraining shouldn’t be required. Our AI foundation models handle dense foliage, irregular plant geometry, and multimodal perception with ease.

Easy to integrate into any robot architecture
Built for the edge —no cloud required
Fully isolated — your data, your model, your IP
1000x less data required
Real-time, reliable, and field-ready



