Mind Network and Gata Launch Privacy-First Data Infrastructure for Agentic AI

On May 28, Mind Network partnered with decentralized AI data platform Gata to create a privacy-preserving infrastructure for agentic AI. This integration embeds fully homomorphic encryption (FHE) into Gata’s framework. The collaboration aims to support secure data workflows, from encrypted AI chat interactions to trusted medical data sharing. This move represents a major stride in building compliant and decentralized systems that uphold user privacy while enabling advanced AI capabilities. This innovative partnership offers a solution that balances privacy with performance.

Quantum-Resistant Security for AI Data

Mind Network, backed by Binance Labs, provides quantum-resistant FHE technology. This technology ensures data remains encrypted throughout all stages of processing. Gata, supported by YZI Labs, integrates this FHE layer into its decentralized agent framework. Together, they enable chat-based data collection, image-text scoring, and multimodal prediction in an encrypted environment. Under this system, users interact with AI agents, such as in GPT-to-Earn models, to create training data. All interactions are encrypted locally before being uploaded. This prevents any platform node or third party from accessing raw data. Scientific and medical research also benefits. For example, Gata’s Decentralized LAION module uses local agents to collect and assess medical images. Mind Network’s encryption then protects the results and ensures secure consensus.

Data Agents and Encrypted Validation

Gata introduces Data Validation Agents (DVAs), which verify the quality of collected datasets. These agents run locally and score image-text pairs for clarity and relevance. Mind Network’s FHE ensures the entire validation process stays encrypted. Encrypted results are sent to a consensus system that verifies the accuracy without revealing the original content. This encrypted consensus mechanism strengthens trust in the data validation process. The partnership ensures that all AI training workflows, data generation, validation, and aggregation occur securely and privately. This end-to-end encryption protects sensitive content, such as medical records and behavioural data, without compromising usability.

Bridging AI and Compliance

FHE technology provides more than privacy; it also supports compliance. Mind Network’s encryption layer aligns with global standards, including GDPR and HIPAA. This makes Gata’s platform compatible with institutional requirements in healthcare, finance, and scientific research. The integration allows secure collaboration with hospitals, banks, and universities. Through this trusted infrastructure, AI developers can build models using compliant, encrypted datasets. Gata’s system avoids the risk of plaintext data exposure while supporting high-quality model training. This approach addresses the growing regulatory focus on AI systems and user data protection.

Future of Agentic Intelligence

The Mind Network–Gata collaboration supports the rise of agentic AI, intelligent agents that operate with autonomy. These agents rely on secure and verifiable data to function. The partnership provides a trusted framework for such agents across AI trading, DeFi, and decentralized science. For instance, trading bots can access encrypted image-text datasets to fine-tune market predictions. In the scientific field, researchers can share anonymized medical data without breaching privacy laws. 

DeFi platforms can use verified and private datasets for pricing and liquidation decisions. This foundational layer of encrypted computing and decentralized validation supports a shift toward autonomous intelligence. Mind Network and Gata aim to power a future where data is secure, verifiable, and accessible without exposure. This vision supports a decentralized and equitable data economy where data ownership and contribution are fairly rewarded.

Building Trusted Intelligence Systems

The collaboration between Mind Network and Gata marks a turning point in AI infrastructure. The joint platform enables secure data workflows while ensuring regulatory alignment. As AI systems grow more powerful and autonomous, the need for secure, private, and transparent data ecosystems will rise. With Mind Network’s quantum-resistant FHE and Gata’s decentralized agent model, the partnership delivers a scalable and compliant foundation for agentic AI. Previously, on May 23, Mind Network partnered with Alibaba Cloud to scale encrypted AI Inference. The system supports secure agentic AI workflows, allowing private data exchange across distributed cloud environments. This development is expected to drive future innovations across industries by protecting data at every level while promoting collaborative intelligence.

On May 28, Mind Network also partnered with Spheron Network to power a quantum-resistant, fully encrypted web for AI and on-chain data. Together, they’re building HTTPZ, the new Web3 standard for a secure and decentralized internet future. Momentum is surging for Mind Network on BNB Chain, ranking in the Top 5 AI projects for new user growth on DappBay. As a privacy layer for the agentic future, Mind Network enables secure computation and trusted data flow. Engaging communities through Korean and Vietnamese AMAs, they’re expanding awareness of BSC Alpha use cases. Looking ahead, their global “On My MIND” series lands in Seoul on June 9, spotlighting privacy-preserving AI and Web3 infrastructure.