Profile
OpenMind is a San Francisco-based AI robotics company founded in 2024 that is building the foundational software layer for the next generation of intelligent machines. The company’s flagship product, OM1, is an open-source, hardware-agnostic operating system designed to bring advanced cognition to robots. Often described as “Android for robots,” OM1 enables humanoid, quadruped, robotic arm, and mobile base platforms from different manufacturers to perceive, reason, and act in real-world human environments. It abstracts away hardware differences, allowing developers to build once and deploy across diverse robot types. OpenMind also develops FABRIC, a decentralized coordination protocol (sometimes described as a blockchain-based network for machines) that enables secure identity, knowledge sharing, and collaboration between robots.
OpenMind’s platform is designed to accelerate the commercialization of embodied AI by providing a common runtime, multimodal AI capabilities (vision, speech, action), and an app-store-like ecosystem for robot skills and workflows. The system supports integration with major AI models (OpenAI, Gemini, DeepSeek, xAI) and runs on a wide range of hardware, from edge devices and phones to full humanoids and quadrupeds. Key features include on-device SLAM for spatial intelligence, natural language interaction, real-time decision-making, and secure data handling.
The company is actively shipping early hardware (including robotic dogs powered by OM1) and has launched a robot app store that lets developers distribute skills and applications across different robot platforms. OpenMind emphasizes transparency, open-source principles, and community-driven development. Its GitHub repositories and documentation are publicly available, and the company hosts events, developer clinics, and educational resources to grow the ecosystem. With backing from notable investors and partnerships across the robotics industry, OpenMind is positioning OM1 as the universal cognitive layer that will power the coming wave of everyday robots.
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