CARV Announces Upgrade to its Groundbreaking D.A.T.A. Framework, Introducing DeepSeek’s Advanced Models

CARV Announces Upgrade to its Groundbreaking D.A.T.A. Framework, Introducing DeepSeek’s Advanced Models

With the announcement of an update to its ground-breaking D.A.T.A. (Data Authentication, Trust, and Attestation) Framework, CARV—the premier AI-chain ecosystem for data sovereignty—marked a significant change in the way AI agents engage with both on-chain and off-chain data.

With Phase 2, CARV’s D.A.T.A. framework transforms AI from passive assistants into autonomous decision-making entities. It is the first AI agent framework that seamlessly combines economic self-awareness, cognitive AI reasoning, and verifiable on-chain data with token-driven intelligence, optimizing ecosystems and generating revenue.

Thanks to DeepSeek’s powerful reasoning models, CARV ID (ERC-7231 standard), and token-driven behavioral intelligence, AI agents can now interpret verifiable data, carry out financial transactions, and engage dynamically with decentralized ecosystems.

“AI has long operated in silos, disconnected from economic and data ecosystems,” said Yukai Tu, CTO of CARV. “With D.A.T.A. Framework 2.0, AI agents are no longer just reactive tools; they are proactive, intelligent participants in a decentralized world—capable of reasoning, verifying, and transacting autonomously with economic self-awareness through token-driven intelligence.”

The Emergence of Web3 Economies Driven by AI

The use of restricted, unverifiable data sources by traditional AI systems has limited their capacity to engage with blockchain economies in a meaningful way. This paradigm is altered by D.A.T.A Framework 2.0, which gives AI agents the following capabilities:

Economic Intelligence: Using tokenized incentives and trust measures, AI agents are able to create digital assets, possess wallets, and carry out transactions.
Multi-Chain & Off-Chain Awareness: AI agents may now retrieve, validate, and respond to real-time blockchain data by utilizing CARV’s extensive Web3 connections.
Token-Driven Trust Models: AI-driven platforms become more secure and reliable when agents modify interaction patterns according to verified holdings and ecosystem contributions.
Verifiable AI Reasoning: Thanks to DeepSeek’s cognitive architecture, AI agents can now examine data, draw conclusions that are confirmed by themselves, and adjust their tactics on the fly.

AI models that use Chain-of-Thought Processing produce thorough, sequential thinking prior to taking action, guaranteeing more strategic and well-informed decision-making. By enabling agents to self-check their conclusions, multi-stage verification improves accuracy and dependability in challenging situations. Reinforcement Learning, on the other hand, makes it possible for AI to change dynamically in response to real-time blockchain interactions, gradually improving tactics and judgment. Because of this combination of sophisticated cognitive processes, AI agents can function in decentralized ecosystems with increased autonomy, intelligence, and security.

Furthermore, AI agents may now execute trades, allocate capital, and make governance decisions with previously unheard-of intelligence and security thanks to DeepSeek’s cognitive reasoning integrated into the D.A.T.A. framework.

“The integration of DeepSeek into CARV’s D.A.T.A. Framework marks a turning point in AI development,” said Yukai Tu, CTO of CARV. “We are shifting AI agents from passive tools to self-evolving, economically aware entities that engage autonomously with both data and digital assets. By merging reasoning, trust, and decentralized intelligence, we’re setting a new standard for AI’s role in the Web3 ecosystem.”

To further strengthen trust and customization, CARV has incorporated CARV ID into the D.A.T.A. framework. CARV ID is a cross-chain identity unification layer that enables AI agents to:

  • Link blockchain activities to social presence (e.g., Twitter, Telegram, Discord).
  • Monetize interactions, optimize token economies, and drive sustainable growth.

Get multi-chain, comprehensive insights for highly customized AI interactions.

AI agents can customize their responses, create trust-based engagement models, and dynamically modify interactions based on real-world credentials by integrating on-chain identification with Web2 reputation. Learn more and use CARV’s D.A.T.A. Framework to start building right away.