AMA Recap: How AI Data and Agents Unlock New Opportunities

On August 7, 2025, Codatta hosted a focused X Space with Kite AI to explore the intersection of agent-native data infrastructure and verifiable AI identity. The session brought together leaders building the foundations for intelligent agent ecosystems, including:

  • Yi Zhang, PhD, CEO & Co-founder of Codatta
  • Lei Lei, VP, Head of Business Development & Strategy at Kite AI

The conversation offered a practical look at how Codatta and Kite AI are collaborating to power secure, agent-driven systems with transparent data pipelines and composable identity.

Codatta and Kite AI: What They’re Building

Codatta is a decentralized data protocol that enables transparent and traceable data for AI training registries designed for agent-level AI. Kite AI, on the other hand, is building the infrastructure for AI agent passports and programmable governance. Together, they’re aligning on verifiable data and identity to support real-world deployments in sectors like healthcare and robotics.

“At the core of our partnership is the belief that AI agents should be able to access structured data in a trusted way, with clear identity and permissions baked in.”

Making Agents Verifiable with Kite Certificate

A major topic was the Kite Certificate — a verifiable identity layer that encodes an agent’s credentials, purpose, and access permissions. Every AI agent tapping into Codatta’s datasets is identifiable via this framework, enabling both transparency and granular access control.

Why Structured Datasets Matter for Smarter Agents

Codatta shared how their structured metadata registries enable more intelligent behavior across AI ecosystems. By making data legible, modular, and traceable, Codatta supports agent reasoning, reuse, and accurate downstream outputs.

“You can’t build intelligent agents without intelligent data, and that means transparent formatting, lineage, and consistent metadata.” 

Real Use Cases: Where Agents Are Outperforming

The speakers discussed practical examples where agents are already surpassing traditional automation — such as in continuous market monitoring, personalized health diagnostics, and high-volume data classification. These systems rely on verifiable inputs and programmable access layers to scale safely.

The Future of AI + Crypto Collaboration

The discussion closed with a forward-looking view of the ecosystem. Both teams emphasized the importance of shared standards, open infrastructure, and community-aligned incentives. Codatta’s role as a permissionless data layer and Kite AI’s programmable governance tools offer strong building blocks for developers, researchers, and data contributors.

Want to Get Involved?

You can explore verified metadata registries or contribute to upcoming datasets at Codatta.io, and follow Kite AI for updates on agent deployment tools and governance frameworks.

Stay tuned for more live sessions and community deep dives.

About Codatta

Codatta is an open, decentralized, multi-chain protocol uniting blockchain-based data infrastructure with a collaborative network of human contributors and specialized AI agents. Contributors and knowledge backers gain the opportunity to earn perpetual royalties from AI innovations powered by datasets they collectively own, transforming individual knowledge into lasting digital assets and ongoing rewards.

About Kite AI

Kite is the first blockchain purpose-built for AI, designed to power transparent and fair collaboration across data, models, and agents. It introduces Proof of AI (PoAI) — a system that tracks every contribution and ensures fair rewards. Kite’s AI-optimized infrastructure supports demanding compute and storage needs without relying on centralized platforms. Developers and researchers can fully own, monetize, and trace the usage of their AI assets.

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