Pundi AI has announced a strategic partnership with UQUID, a leading Web3 payment and e-commerce platform. The collaboration aims to bridge the gap between open AI data and real-world cryptocurrency commerce by creating an integrated ecosystem. This will allow AI models to interact with UQUID's marketplace of over 160 million products, enabling direct conversion of data-driven insights into tangible consumer transactions using crypto assets.
The partnership specifically targets the "last mile" of crypto utility, moving beyond speculation to enable users to spend digital assets at retail locations as easily as fiat currency. Pundi AI's data capabilities combined with UQUID's e-commerce infrastructure are designed to empower AI agents with real-world utility, including automated product searches, price comparisons, and purchase decisions.
Separately, Collably Network has formed a strategic partnership with AIW3 to revolutionize AI-driven perpetual trading in the decentralized finance (DeFi) space. AIW3 is building an AI-native layer directly into its protocols, providing foundational intelligence for on-chain trading rather than relying on external tools.
The collaboration focuses on three core "engines": On-Chain Intelligence for analyzing price action and whale activity, an Intelligent Trading System for automated risk management, and a Decentralized Vault Liquidity (DVL) Engine for efficient capital distribution. This integration aims to create a more predictable trading environment with verifiable market operations, addressing issues like slippage and liquidation risks in perpetual futures markets.
Both partnerships reflect a broader industry trend where artificial intelligence is shifting from external overlays to becoming embedded within protocol architecture. The Pundi AI-UQUID collaboration targets Web3 commerce and payments, while the Collably Network-AIW3 partnership focuses on DeFi trading infrastructure. Analysts note that the convergence of AI and blockchain creates opportunities for verifiable internet operations and trust-minimized financial systems.