OpenMind Raises $20M to Launch Hardware-Agnostic OS for Robots

OpenMind Raises $20M to Launch Hardware-Agnostic OS for Robots
Source: OpenMind
  • OpenMind closed a $20 million round led by Pantera Capital to scale OM1, its operating system for intelligent machines.
  • The company is developing OM1, a hardware-agnostic operating system, and FABRIC, a decentralized trust protocol, to support coordination among intelligent machines.

OpenMind announced a $20 million funding round to advance its core technologies for robotic intelligence. The raise was led by Pantera Capital and included backing from a wide range of institutional investors and industry angels, including Coinbase Ventures.

OpenMind is developing OM1, a hardware-agnostic operating system designed to bring intelligent machines into everyday environments. It supports perception, adaptation, and coordinated action across a wide range of robotic systems.

“Today’s robots are trapped in single-vendor ecosystems that limit collaboration and can’t adapt to real-world complexity,” said OpenMind CEO Jan Liphardt, in an official news release. “OpenMind is the connective tissue the robotics industry has been missing.”

Alongside OM1, OpenMind is developing FABRIC, a decentralized protocol that provides secure machine identity, context sharing, and coordination. Together, these systems form an open infrastructure layer of intelligence and trust, allowing robots from any vendor to interoperate and collaborate securely in real time. The company plans to use funds to expand its engineering efforts and partner globally to deploy OM1 and FABRIC.


🌀 Tom’s Take:

We’ve seen growing momentum behind the “robot brain” or AI systems that enable machines to reason, act, and evolve. OpenMind is positioning itself as the neutral layer, avoiding hardware lock-in and aiming to connect them all. While others double down on building the body, OpenMind is focused on the mind, and it is approaching this as an open, shared intelligence layer that spans the entire robotics ecosystem.


Source: OpenMind