Recently, Foretide (福泰德) opened its product for closed beta testing. As an AI-native decentralized protocol, the project connects prediction markets with two trillion-level AI training data tracks, building a sustainable industry closed loop of “prediction production data, data to feed AI, AI to give back to prediction, and institutional procurement for monetization.” The initiative is dedicated to establishing foundational AI data infrastructure for the global Web3 era.

Global prediction markets have an average annual compound growth rate exceeding 80%, covering scenarios such as financial market movements, sports events, geopolitical policy, commodity markets, and entertainment trends—meeting three urgent needs at once: mass entertainment, corporate hedging, and institutional quantitative trading. Meanwhile, as the AI industry’s compute power and algorithms become increasingly mature, the shortage of live, dynamic behavioral data supply has become the industry’s core pain point. Static historical datasets are unable to support truly human judgment, and they also fail to reflect market competition and emotional feedback; high-quality live data is a key production element for iterating large models.

Most traditional prediction platforms are largely limited to trading and game mechanics. They lack underlying technological iteration and the accumulation of high-value data, with revenue highly dependent on transaction fees. Their business model has a clear ceiling, making deep industrial implementation difficult.

Foretide Global is jointly funded by the Ocean Protocol Foundation and Nansen Labs, with Foretide Global Inc. responsible for global commercial rollout. The project holds an MSB financial license from the U.S. FinCEN. Its smart contracts have undergone dual security audits by CertiK and SlowMist. By leveraging the foundation’s decentralized governance, it enables on-chain funds to be publicly and transparently managed, strengthening a compliant foundation for global operations.

At the technical level, the project’s three core technologies are its proprietary AI-AMM smart dynamic market making, zk-Oracle zero-knowledge multi-agent oracle, and the Co-Pilot intelligent interaction system. Combined with adaptive risk control and a stepwise volatility circuit-breaker mechanism, it ensures that user interaction data is verified, evidence is recorded, and information is anchored on-chain, meeting commercialization training standards required by leading AI institutions. The ecosystem uses a dual-token architecture: TDE is used for DAO governance, ecosystem incentives, and liquidity mining; CBT serves as an enterprise-side settlement token, supporting AI labs and quantitative capital’s data procurement and API calls. The product simultaneously covers both consumer (C-end) users and business (B-end) institutions. During the internal testing phase, it continuously accumulates scarce, real, live training data.

Following a five-year development blueprint, the project will sequentially complete product iteration, validate commercial closed-loop performance, expand the ecosystem, and establish collaborations with institutions. It will gradually transition to fully DAO-governed autonomy, moving toward becoming a leading global decentralized AI data infrastructure provider. Foretide Global breaks out of a Web3-only trading narrative. It deeply couples prediction scenarios with the urgent needs of the AI industry, transforming user participation behaviors into productive capacity for the AI industry. This provides a practical new paradigm for enabling AI in real-world economic activities through blockchain.