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Best physical AI AI tools

Discover powerful physical AI AI tools, including Sanctuary AI, phospho, Maum.ai, Roboto, and Xolver, and other related products.

Xolver

Xolver

Xolver is a physical intelligence platform designed for robotics, providing foundation models, a deterministic enforcement layer, and embedded runtimes. It enables safe, auditable, and adaptive machine operations by converting real-world signals into bounded execution, ensuring reliability in complex industrial environments.

Machine Learning Models
Visits 8.9KFavorites 68Likes 70
Maum.ai
Freemium

Maum.ai

Maum.ai is a comprehensive enterprise AI platform specializing in "Physical AI," which integrates conversational AI, vision, robotics, and on-premise LLMs. It offers end-to-end solutions from AI-powered chatbots and virtual humans to autonomous robots for various industries, enhancing productivity and automation.

Enterprise Solutions
Visits 19.8KFavorites 140Likes 146
Roboto
Freemium

Roboto

Roboto is an advanced analytics engine designed for physical AI and robotics. It empowers robotics teams to organize, search, analyze, and automate workflows on vast amounts of multimodal data, including logs, video, and sensor data. This platform accelerates development, enhances system reliability, and helps uncover critical edge cases before deployment.

Robotics
Visits 19KFavorites 155Likes 147
Sanctuary AI

Sanctuary AI

Sanctuary AI is a robotics and physical AI company developing Phoenix, an industrial-grade, general-purpose humanoid robot. Powered by an advanced AI control system, Phoenix is designed to address global labor shortages by performing complex, dexterous tasks in manufacturing, logistics, and automotive industries, especially those that are dull, dirty, or dangerous.

Physical Ai
Visits 43.8KFavorites 170Likes 155
phospho
Paid

phospho

phospho is an AI robotics company providing an integrated ecosystem of open-source hardware and software. It offers starter kits like robotic arms and walking robots, powered by the phosphobot platform, to make advanced physical AI accessible for developers, researchers, and hobbyists.

Machine Learning
Visits 27.4KFavorites 145Likes 169
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