{"version":1,"id":"de","title":"De¹","summary":"De¹ is an AI and DeFi infrastructure platform that combines real-market execution with privacy-preserving training to build a financial world model.","content":"**De¹** is a financial-intelligence platform established in 2020 that combines artificial-intelligence training with real-market execution. It is building an on-chain “Financial World Model” intended to connect market simulation with live execution, using actual fills rather than simulated outcomes as the basis for its market data and training signals.[\\[1\\]](#cite-id-mrm4hyv8x)​[\\[2\\]](#cite-id-7qogovlncb)​\n\nThe platform reports $40.75 billion in lifetime processed volume and 3.1 million total contributed users.[\\[2\\]](#cite-id-7qogovlncb)​\n\n## History and Backing\n\n​[RootData](https://iq.wiki/wiki/rootdata) lists De¹ as established in 2020 and identifies YZi Labs as an investor.[\\[1\\]](#cite-id-mrm4hyv8x) In its September 4, 2026 article, De¹ described itself as backed by YZi Lab, Amber Group, and Multicoin.[\\[3\\]](#cite-id-b9l0t4i5dl) [\\[4\\]](#cite-id-7MBkIZC6ZPoxHWrs) \n\n## Design & Architecture\n\nDe¹ describes its system as a financial “physics engine” that brings together five components: an execution engine, a verifiable off-chain trajectory based on signed execution, a data layer that turns real fills into reward labels, privacy-preserving training intended to prevent strategy leakage, and a live financial world model for agents.[\\[2\\]](#cite-id-7qogovlncb)​\n\nThe execution engine routes trading intent across on-chain and dark liquidity. The platform describes its execution layer as using reinforcement-learning-based execution and unified liquidity, while its world model is intended to represent on-chain market microstructures in a high-fidelity environment.[\\[2\\]](#cite-id-7qogovlncb)​[\\[3\\]](#cite-id-b9l0t4i5dl)​\n\nDe¹ says finalized trades supply the model with signals derived from live executions, including executable price, route, liquidity conditions, [slippage](https://iq.wiki/wiki/slippage), and market impact. It attributes each signal to the trader’s account and records the contribution in a “Signal Passport,” which it presents as verifiable evidence of the contribution and a claim to a share of what that contribution helps train.[\\[3\\]](#cite-id-b9l0t4i5dl)​\n\nThe platform frames trading as both execution and data contribution: real fills supply labels and market signals that can inform the model across different market conditions and trading approaches. De¹ has described privacy-preserving federated-learning frameworks as part of its training infrastructure, alongside a data flywheel based on live capital flows.[\\[2\\]](#cite-id-7qogovlncb)​[\\[3\\]](#cite-id-b9l0t4i5dl)​\n\n## Applications\n\nDe¹ presents its model as applicable beyond trading. Its stated use cases include tokenized assets as programmable environments; [stablecoin](https://iq.wiki/wiki/stablecoin) corridors for cross-border money movement with live liquidity feedback; lending markets that learn from repayment, [liquidation](https://iq.wiki/wiki/liquidation), and stress; insurance claims workflows involving verifiable evidence, payout, and recovery; and programmable disbursement systems for aid, subsidies, stipends, and public-benefit flows.[\\[2\\]](#cite-id-7qogovlncb)​\n\n## Execution and Ecosystem\n\nIn a September 4, 2026 article, De¹ said its execution layer connected more than 1,000 liquidity sources across more than 40 chains, including [Robinhood Chain](https://iq.wiki/wiki/robinhood-chain). It described the system as assessing live liquidity, [slippage](https://iq.wiki/wiki/slippage), price impact, and fill quality when selecting routes.[\\[3\\]](#cite-id-b9l0t4i5dl)​\n\nThe article described Stock Tokens as routing assets and gave a [WETH](https://iq.wiki/wiki/weth-wrapped-eth)-to-AI order as an example of a multi-hop route through USDG and NVDA pools. It also said routes could cross Uniswap V3 and V4 pools and launchpad [bonding curves](https://iq.wiki/wiki/bonding-curve). At the time of the article, De¹ named PONS, AI, and CASHCAT among the assets routed through the platform and said it supported more than 40 Stock Tokens, including MSTR, NVDA, SPY, and QQQ.[\\[3\\]](#cite-id-b9l0t4i5dl)​\n\n​\n","categories":[{"id":"projects-and-protocols","title":"projects-and-protocols"}],"tags":[{"id":"DeFi"},{"id":"AIInfrastructure"}],"images":[{"id":"QmWDGfbxCGhqFMXN5Kx9LZo5Y7yg9WuL1TSpYy3srNXeUD","type":"image/jpeg, image/png"}],"media":[],"metadata":[{"id":"references","value":"[{\"id\":\"mrm4hyv8x\",\"url\":\"https://www.rootdata.com/projects/detail/De%C2%B9?k=MjU2MDE%3D\",\"description\":\"RootData project profile\",\"timestamp\":1793881624720},{\"id\":\"7qogovlncb\",\"url\":\"https://de1.ai/\",\"description\":\"De¹ platform\",\"timestamp\":1793881624721},{\"id\":\"b9l0t4i5dl\",\"url\":\"https://medium.com/de1-ai/make-money-on-robinhood-chain-train-an-on-chain-intelligence-of-your-own-90c6547ef784\",\"description\":\"De¹ article on Robinhood Chain\",\"timestamp\":1793881624721},{\"id\":\"7MBkIZC6ZPoxHWrs\",\"description\":\"X profile \",\"timestamp\":1793882463545,\"url\":\"https://x.com/De1_ai\"}]"},{"id":"rootdata_profile","value":"https://www.rootdata.com/Projects/detail/De¹?k=MjU2MDE="},{"id":"website","value":"https://de1.ai/"},{"id":"twitter_profile","value":"https://x.com/De1_ai"},{"id":"medium_profile","value":"https://de1-ai.medium.com/"},{"id":"telegram_profile","value":"https://t.me/de1official"},{"id":"discord_profile","value":"https://discord.gg/Q3hhP59CVh"},{"id":"main-image-origin","value":"{\"imageId\":\"QmWDGfbxCGhqFMXN5Kx9LZo5Y7yg9WuL1TSpYy3srNXeUD\",\"originalId\":\"QmWDGfbxCGhqFMXN5Kx9LZo5Y7yg9WuL1TSpYy3srNXeUD\"}"},{"id":"commit-message","value":"Create De¹ wiki"}],"events":[{"type":"CREATED","title":"De¹ established","date":"2020-01-01","description":"De¹ was established.","link":null,"multiDateStart":null,"multiDateEnd":null,"id":"05ec430b-5d35-4822-a7ca-7ae1eec65950"}],"linkedWikis":{"founders":[],"blockchains":["robinhood-chain"],"speakers":[]},"user":{"id":"0x8af7a19a26d8fbc48defb35aefb15ec8c407f889"},"author":{"id":"0x212cb3f4ae6611054637f9f78f18fb628ad258bb"},"language":"en","operator":{"id":"0x212cb3f4ae6611054637f9f78f18fb628ad258bb"}}