Mind Network, a leading Web3 infrastructure platform using completely homomorphic coding, has started exclusive cooperation with Gata, a groundbreaking company to encourage web3 AI innovation. The partnership is intended to use end-to-end coding in data processing and fully homomorphic coding to stimulate privacy, compliance and integrity. The platform unveiled this initiative on his official social media account on X.
🤝 Enthusiastic to collaborate with @gaa_xyz to launch a trusted data infrastructure for the #AgenticWorld.
By integrating completely gay encryption (#fhe) by @mindnetwork_xyz’s completely gay encryption (#fhe) in the data agent framework of @gata_xyz, we make private-per-default workflows, including chat-based data … pic.twitter.com/mwiczpdsd
– Mind Network (@Mindnetwork_xyz) 28 May 2025
Mind Network Partners with Gata to offer an efficient privacy-oriented data infrastructure
In the midst of continuous evolution in the AI systems in terms of agent autonomy, the cooperation of Mind Network with Gata is a major contribution. It offers a unique framework that meets the latest requirements by guaranteeing reliable and secure data workflows. Gata is a leader when it comes to the use of data agents, which are regional AI agents to allow consumers to contribute A-class data. At the same time, they also allow reward generation.
With this milestone initiative, Gata will record the advanced FHE-guided private computer day of Mind Network. This guarantees the full end-to-end coding of all data interactions. An important use of this state-of-the-art technology is currently going through processing in the module entitled ‘Decentralized Laion’. It makes the development of privacy -retaining datasets possible to promote medical and scientific research. In particular, consumers can use it to upload relevant images and linked text through local agents.
That is why the important functions of this joint initiative GPT-to-earn include reliable data protected by FHE, compliance and decentralized validation via Data Validation Agent (DVA). In this respect, users can expect the encrypted collection of sensitive data, chatgpt-like tools for creating training data and compliance with the regulations. If you kept an eye on this, the collaboration paves the way for a future marked by verifiable and secure data, which prioritize accountability and autonomy.
Autonomy, security and ownership of data driving with FHE and AI technology
According to Mind Network, the partnership indicates a merger of Gata’s decentralized collection of data with advanced FHE options from Mind Network. The main goal of this remarkable combination is to develop the based on an independent AI sector, powered by full autonomy, effective intelligence and extensive safety. At the same time, the aim also maintains strict standards with regard to data privacy to contribute positively to the Web3 evolution.