TorqueAGI partners with NVIDIA, John Deere, and Dexterity to advance Physical AI to real-world deployment.
TorqueAGI Announces Collaborations with NVIDIA, John Deere, and Dexterity to Advance Physical AI for Enterprise-Grade Robots
TorqueAGI, a Physical AI company building AI foundation models for enterprise robotics, today announced collaborations with NVIDIA, John Deere, and Dexterity. This shift toward real-world Physical AI deployment is being built through collaboration across the platform, application, and deployment layers of the stack.
Bringing Physical AI into production is a team effort. From compute infrastructure to foundation models to deployment systems, TorqueAGI is building at the model layer alongside partners working across the full stack.
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As an NVIDIA Perception Partner, TorqueAGI builds and deploys foundation models that bring real-time perception and reasoning to enterprise robots. Founder and CEO Dr. Ashutosh Saxena took the stage at NVIDIA GTC 2026 to discuss what it takes to make Physical AI work in production, including how NVIDIA’s GPU infrastructure enables training and real-time edge deployment of foundation models designed for the robot from day one.
In agriculture, TorqueAGI was selected for the John Deere 2026 Startup Collaborator Program, recognized for creating the AI foundation model that powers a new generation of enterprise robots capable of real-world reasoning and autonomy. John Deere Vice President Wes Robinson noted the program brings together startups whose technologies address critical challenges across the industries they serve, from AI-driven robotics to advanced sensing and digital crop intelligence, accelerating practical innovations that improve precision, productivity, and sustainability.
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In logistics, TorqueAGI is building alongside Dexterity, where their Foresight world model enables robots to unload trucks as closed-loop systems in real time, improving throughput and robustness in unstructured environments.
Samir Menon, CEO of Dexterity, put it directly: “TorqueAGI’s rapid execution in developing AI-based solutions for world modeling and human-robot safety is truly remarkable.”
From agriculture to logistics, progress in Physical AI is coming from teams working across the stack, turning advances in AI-driven robotics into systems that deliver real-world results.
