Mind Network × Gata: Building the Trusted Data Infrastructure for Agentic AI

4 min readMay 28, 2025

Mind Network and Gata have entered into a strategic partnership to launch a privacy-focused data collection and validation framework based on Fully Homomorphic Encryption (FHE). This system enables end-to-end encrypted data processing and addresses core challenges in training AI agents, including privacy, data integrity, and regulatory compliance.

As AI moves toward the era of Agentic AI and autonomous learning, the way training data is sourced, governed, and protected has become a fundamental infrastructure concern for the entire ecosystem.

Gata is the first platform in the Web3 space to introduce the concept of dataAgents into real-world application. By running a local AI agent, users can contribute high-quality training data, perform data validation, and earn rewards.

Through this partnership, Gata integrates Mind Network’s FHE-based confidential computing layer to enable fully encrypted workflows. These include conversational data collection, image-text quality scoring, and multimodal prediction, among other core tasks.

For example, in the Decentralized LAION module, users can upload medical images and descriptions through local agents. The FHE layer performs encrypted quality scoring and submits the results to a consensus network, ensuring the secure circulation of medical data across global research systems.

Trusted Data: End-to-End Encryption and Decentralized Validation

FHE allows data to remain encrypted throughout the entire computation process. This ensures safe data usage and enables training contributions that are usable without exposing their original content.

GPT-to-Earn
Users generate training data through natural language interactions with ChatGPT. The FHE layer encrypts all content locally before it is uploaded, preventing any platform node from accessing private information.
Decentralized LAION
Gata is building a decentralized image-text dataset inspired by LAION and expanding it into medical and scientific domains. FHE enables compliant medical data collection and supports global sharing while preserving patient privacy.
DataAgent: DVA (Data Validation Agent)
Users run a local validation agent to assess the quality of image-text pairs. Mind Network’s FHE ensures that all evaluations are computed locally and submitted in encrypted form, protecting the integrity of the consensus mechanism.

Why FHE Is Essential to the AI Data Ecosystem

Privacy Protection
AI training data often contains sensitive content such as conversations, behavioral patterns, preferences, and medical records. Traditional plaintext data collection creates serious privacy risks. FHE ensures that data remains encrypted throughout the entire process, and that no intermediate party can reconstruct the original content. This approach provides a robust foundation for treating data as a valuable and protected asset.

Data Integrity and Verifiability
In the context of decentralized AI, model training must rely on objective, authentic, and tamper-proof data. FHE enables transparent and verifiable processes for data evaluation, aggregation, and distribution, enhancing both trust and reliability.

Regulatory Compliance and Institutional Integration
Compliance is the key to bridging traditional institutions with Web3 ecosystems. FHE is compatible with global privacy standards such as GDPR and HIPAA, allowing Gata to integrate securely with healthcare providers, financial institutions, and research organizations while unlocking access to high-value datasets.

Toward a Trust-Based Agentic AI Ecosystem

This collaboration is not only a technical advancement but also a critical step toward building a trustworthy and autonomous AI environment. With FHE, data becomes both usable and controllable, enabling agents to interact and collaborate securely while protecting privacy.

This framework will support a wide range of collaborative use cases across AI agents, on-chain protocols, and decentralized ecosystems:

AI Trading Agents
Tens of thousands of trading bots can connect to Gata’s data interfaces, optimizing algorithmic strategies while maintaining full privacy protection.
DeSci Data Collaboration
Scientists and medical researchers can share encrypted and anonymized datasets, supporting global research while preserving individual privacy.
DeFi Protocol Integration
Decentralized exchanges and lending platforms can incorporate Gata’s image-text and market data, strengthening pricing and liquidation logic with privacy-preserving sources.

Looking Ahead: From Data Contribution to Autonomous Intelligence

As the number of AI agents increases and the pursuit of AGI accelerates, the demand for secure, verifiable, and privacy-preserving infrastructure continues to grow. Web3 must rise to meet this demand with systems that are intelligent, compliant, and inherently trustworthy.

The collaboration between Mind Network and Gata directly addresses this need by establishing a trusted data foundation powered by FHE. From data contribution to data ownership, from model training to reward distribution, this partnership will drive the transformation toward a more decentralized and equitable data economy.

We are building the foundations for a future where data is secure and verifiable, and intelligence is autonomous and accountable.

About GATA

Gata aims to become a decentralized version of LAION, focused on researching and producing frontier data necessary to unlock frontier-level AI advancements. By using token-based incentives, Gata can rapidly translate frontier AI research into large-scale data production.

About Mind Network

Mind Network pioneers quantum-resistant Fully Homomorphic Encryption (FHE) infrastructure, powering a fully encrypted internet through secure data and AI computation. In collaboration with industry leaders, Mind Network is establishing HTTPZ — a Zero Trust Internet Protocol — to set new standards for trusted AI and encrypted on-chain data processing in Web3 and AI ecosystems.

Mind Network is backed by notable investors including Binance Labs, Cogitent, Hashkey, Animoca Brands, Chainlink, and has received two Ethereum Foundation Grants for its FHE research. Partnering with industry leaders like Zama, Mind Network is building a fully encrypted infrastructure, committed to realizing the vision of HTTPZ for the next generation internet.

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