OpenMind plans to create a decentralized operating system for smart machines.
Summary
- OpenMind obtained $ 20 million in funds, led by Panther Capital
- Other sponsors include Coinbase Ventures, DCG and more
- The startup plans to create an open source operating system for robotic intelligence
Cryptographic and robotics can soon become a powerful synergy. On Monday, August 4, Panther Capital led a Financing Round of $ 20 million In Openmind. Other investors include Coinbase Ventures, DCG, Ribbit, Lightspeed Facion, Pebblebed, Topology, among others.
The firm, whose CEO is Stanford’s teacher, Jan Liphardt, is working on the 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 is no intelligence, only movement. We are building the system that allows machines to reason, act and evolve together.”
Described as “Linux in Ethereum”, the operating system will work as a coordination layer for smart machines. It will also take advantage of blockchain networks to remain decentralized, allowing multiple producers to work together.
“Today’s robots are trapped in a single seller who limit collaboration and cannot adapt to the complexity of the real world,” Liphardt said. “Openmind is the connective tissue that the robotics industry has been losing.”
Blockchain could be key to the development of robotics
According to Nihal Maunder, partner of Panther Capital, this approach “feels obvious in the retrospective.” He explained that an open network is the key to advancing in the robotics industry.
“OpenMind is doing for Robotics what Linux and Ethereum did for the software,” Maunder said.
Linux is an open source operating system that feeds almost all servers that execute the Internet. Thanks to its modular and open source nature, any developer can adapt it to their exact needs.
This reflects how smart contracts work in blockchains like Ethereum. As decentralized applications and intelligent contracts are open source, developers can easily build DAPPs that interact with a large number of others, which allows collaborative functionality.
