OpenMind develops and provides an open-source software stack designed to enable and enhance robot functionality across various hardware platforms. The platform offers spatial APIs for navigation, remote teleoperation tools, and a marketplace for robot skills and workflows. This unified software architecture supports diverse robot types, including humanoids and mobile bases, facilitating collaborative development and deployment.
Funding
Funding not disclosed
Founders
Product
Problem
Robotic platforms often rely on fragmented software stacks that lack native AI integration, making it difficult to deploy large language models, vision systems, and autonomous decision‑making across heterogeneous hardware. Additionally, robots operating in distributed environments have no standardized mechanism for verifiable identity, location proof, or secure peer‑to‑peer coordination, which hampers collaborative tasks and data provenance.
Solution
OpenMind delivers an open‑source, AI‑native robot operating system that unifies perception, language, and control modules under a modular, multiplatform architecture. The stack abstracts hardware differences, allowing developers to plug in any LLM, vision model, or custom agentic workflow with minimal code changes. A built‑in runtime (OM1) orchestrates data flow and execution across CPUs, GPUs, and edge accelerators, supporting both simulation and on‑device deployment. Complementing the OS, FABRIC provides a decentralized network that issues cryptographically verifiable machine identities, confirms physical location, and enables secure, real‑time coordination among robots. Together, these layers let autonomous agents learn, share skills, and operate collaboratively while preserving provenance and access controls.
Target Audience
Primary customers are robotics OEMs, research labs, and software teams building autonomous agents—ranging from industrial manipulators to humanoid platforms—that require a unified AI stack and secure multi‑robot collaboration capabilities.
Features
- Modular, multi‑platform kernel that abstracts sensor, actuator, and compute resources for seamless integration of LLMs, vision transformers, and custom policy networks.
- Plug‑and‑play runtime (OM1) with Python‑first API, containerized execution, and deterministic scheduling for both cloud‑based simulation and edge deployment.
- FABRIC decentralized ledger that issues tamper‑proof machine IDs, GPS‑linked location attestations, and peer‑to‑peer handshake protocols for trusted collaboration.
- Fine‑grained access‑control policies and provenance tracking for shared data, models, and skill packages across robot fleets.
- Open‑source SDKs and ROS‑compatible bridges enabling rapid onboarding of existing robotic middleware and legacy codebases.
- Scalable skill‑exchange marketplace allowing robots to publish, discover, and monetize reusable behavior modules under verifiable trust guarantees.
- Built‑in telemetry, remote diagnostics, and over‑the‑air update mechanisms secured by end‑to‑end encryption.