Minima has formed a partnership with Singularity Venture Hub to bring a new era of edge-based artificial intelligence. LLMs will now be able to function on mobile gadgets through Minima’s network. The architecture of Minima’s devices means that they work as full nodes and give users robust support for independent artificial intelligence (AI).
What if your AI model ran on your phone, with full self-sovereignty?
Today, Minima & Singularity Venture Hub are entering into a strategic partnership to make that a reality. Together we will achieve the following:
🔹 @ASI_Alliance ASI:One LLMs running directly on Minima nodes… pic.twitter.com/5fPyWkrHLq
— Minima (@Minima_Global) June 9, 2025
The project is being supported by the Artificial Superintelligence Alliance (ASI) and its members, who are Fetch.ai, Ocean Protocol, and Cudos. The initiative seeks to form a compliant and decentralized AI framework by integrating on-chain computation, safe data, and advanced language processing into one system.
Minima Offers Integritas and On-Device Verification Tools
Minima’s Integritas service will guarantee that all data is correct and transparent during the collaboration. The tool will allow for auditing and verifying AI results, ensuring that no third parties are needed to validate the process.
Every Minima node will use the AI model to handle language processing as part of its activities on every device. This makes things faster and more secure by having no single failure point, which supports privacy and autonomy for all users.
Tokenized Infrastructure and ASI Ecosystem Integration
The arrangement will involve introducing a decentralized system for tokens that is built on compliance with the law. This layer is meant to help the ASI ecosystem and make it safer for participating protocols to coordinate.
The team wants to build a smooth AI and blockchain network by bringing in Fetch.ai, Ocean, and Cudos. This setup helps deliver distributed intelligence and increases the chances of spreading compute, storage, and data sharing services.
