Quantra and Chain Intelligence announced a strategic partnership to merge on-chain analytics, market data, research tools, and chat-based decision support, accelerating the research-to-investment cycle in Web3.

The collaboration creates a unified workspace to reduce data fragmentation and provide real-time insights, enhancing engagement from traders and Web3 users.

Chain Intelligence positions itself as a Web3 intelligence and trading workspace that combines market data, on-chain signals, research tools, and chat-driven decision support to aid trading decisions.

The partnership aims to improve safety, speed, and clarity for users, increase ecosystem engagement, and bolster Web3 credibility across real-world asset sectors.

The move reflects a broader trend of integrating data technology, AI, and real-world assets to mature and stabilize the digital asset ecosystem, potentially attracting institutional participation.

Investors and developers stand to benefit from a more transparent, comprehensive platform that encourages ecosystem engagement and innovation in crypto and Web3.

The initiative signals a shift toward AI-assisted market prediction, transaction-pattern detection, and enhanced trading strategies within a centralized, transparent Web3 ecosystem.

Improved market intelligence and on-chain research capabilities are expected to help investors and developers build a more mature ecosystem that blends data technology, AI, and RWA tokenization.

The collaboration seeks to shorten the cycle from research to judgment to execution and to enhance overall visibility of Web3 analytics.

The partnership emphasizes authentic on-chain verification, asset mapping, and rule-based execution to accelerate acceptance of Web3 products and expand global RWA infrastructure visibility.

It also aims to speed adoption of real-world assets in Web3 by enabling legitimate on-chain verification and standardized data mapping for tokenized assets like computing power and energy.

AI is positioned as a core driver to accelerate decision-making in Web3, integrating data, analytics, and decision tools to navigate crypto volatility with greater speed and accuracy.