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 models bring Physical AI to real-world robotics. Built on a shared intelligence for geometry, physics, and motion, these pre-trained models enable robots to operate reliably across dynamic environments and real-world edge cases.
TorqueFlow powers robotic operations in logistics and warehouse environments. By reasoning about spatial layouts and deformable object interactions, the model supports reliable trailer unloading, mixed-SKU sorting, kitting, and deformable packing.
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TorqueAssemble enables robots to perform dexterous assembly in manufacturing environments. By reasoning about geometry, part relationships, and contact interactions, the model supports reliable multi-part handling across real-world production workflows.
TorqueInspect gives robots the ability to perform inspection tasks across indoor facilities and outdoor environments. By reasoning about materials, surfaces, and structural conditions, the model detects defects, damage, and safety risks across physical assets and environments.
TorqueShield enables robotic systems to operate in mission-critical defense environments. By reasoning with multimodal and multi-spectral data about terrain and infrastructure, the model supports situational awareness with secure edge deployment.
TorqueBuild makes it possible for robots to perform construction tasks in dynamic job sites. By reasoning about geometry, layouts, and physical constraints, the model supports drywall installation, tile laying, drilling and fastening, and material transport.
TorqueHarvest drives robots to operate reliably in harsh agricultural environments. By reasoning about plant structure, terrain, and spatial relationships, the model supports selective harvesting, crop handling, and field operations across dynamic outdoor conditions.
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
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