OpenMind plans to create a decentralized operating system for smart machines.
Summary
- OpenMind obtained $20M in funding, led by Pantera Capital
- Other backers include Coinbase Ventures, DCG, and more
- The startup plans to create an open-source OS for robotic intelligence
Crypto and robotics may soon become a powerful synergy. On Monday, August 4, Pantera Capital led a $20 million funding round in OpenMind. Other investors include Coinbase Ventures, DCG, Ribbit, Lightspeed Faction, Pebblebed, Topology, among others.
The firm, whose CEO is Stanford professor Jan Liphardt, is working on FABRIC, creating a decentralized operating system for robots.
“If AI is the brain and robotics is the body, coordination is the nervous system,” Liphardt said. “Without it, there’s no intelligence – just motion. We’re building the system that lets machines reason, act, and evolve together.”
Described as “Linux on Ethereum,” the operating system will function as a coordination layer for smart machines. It will also leverage blockchain networks to remain decentralized, enabling machines from multiple producers to work together.
“Today’s robots are trapped in single-vendor ecosystems that limit collaboration and can’t adapt to real-world complexity,” said Liphardt. “OpenMind is the connective tissue the robotics industry has been missing.”
Blockchain could be key to robotics development
According to Nihal Maunder, partner at Pantera Capital, this approach “feels obvious in hindsight.” He explained that an open network is the key to moving the robotics industry forward.
“OpenMind is doing for robotics what Linux and Ethereum did for software,” Maunder stated.
Linux is an open-source operating system powering almost all the servers that run the Internet. Thanks to its modular and open-source nature, any developer can adapt it to their exact needs.
This mirrors how smart contracts work on blockchains like Ethereum. As decentralized applications and smart contracts are open source, developers can easily build dApps that interact with a large number of others, enabling collaborative functionality.
