General purpose intelligence
for every robot
plug and play AI skills for every robot deployable today
Emergence of general intelligence through skills
General Robotics is building general-purpose intelligence for every robot in any form, across any real-world scenarios. True generalist robots need more than just a foundation model. They must adapt across morphologies, be simple to program, and meet rigorous safety standards.

We believe general intelligence emerges from rich composition of robot skills — not just larger models. By combining modular AI skills, we enable robots to sense, reason, and act with precision. Our approach is data-efficient, interpretable, and built for safety-critical use.
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AI skills for every robot

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Skill composition via code synthesis

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Simulation as a source of feedback

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Fast deployment through cloud

GRID
General robotics - GRID
General Robot Intelligence
Development Platform
AI Skills. For every robot. Deployment ready.
Plug and Play AI Skills
Access diverse AI skills for perception, planning and action in the physical world.
Every Robot
Multiple robots with high fidelity simulations for zero-shot deployment.
Deploy through the Cloud
Unified deployment pipelines to deploy skills on robots in minutes using commercial cloud, on-prem or edge support.
Open GRID makes robot intelligence accessible
Rapid access of AI skills for every robot.
Web-Based sandbox for prototyping.
For individuals.
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Making robots useful, fast
JOIN US
We’re scientists, engineers, and builders behind some of the most widely adopted robotics and AI tools — from AirSim , Neural Simulation and VideoPoet to open-source projects like Tensorflow Object Detection, ChatGPT for Robotics, ClimaX, and PACT.
Foundations in Research
Our research is grounded in deep learning and safety. We believe that general-purpose intelligence for robots won’t come from monolithic models, but from modular deep learning structures. Real-world deployment demands systems that are composable — modular, adaptable, and inspectable by design. Safety is not a layer to add later; it’s a foundation. That’s why we build mechanisms for blame assignment and interpretability into the architecture itself, ensuring accountable and reliable behavior from the ground up.
AI skills for every robot