YZi Labs backs De[1] to build an AI 'Financial World Model' on BNB Chain

What's the deal? De[1]Dealroom has a profile for this one. Try Dealroom →, a startup building a "Financial World Model" trained on live markets, has raised an undisclosed investment from YZi LabsDealroom has a profile for this one. Try Dealroom →. The deal, announced August 28, marks De[1]'s entry into the BNB ChainDealroom has a profile for this one. Try Dealroom → ecosystem.

What's the endgame? De[1] is building an intelligence layer that learns directly from live market execution. It connects more than 1,000 liquidity sources across over 40 chains through a unified execution layer, labeling trading outcomes and feeding them back into the model so execution quality and market understanding improve together.

The model is built on what De[1] calls shared market physics, letting it specialise across perpetuals, prediction markets, and tokenised assets. Participants' signals are recorded as measurable contributions to the intelligence they help build.

Why now? A shift is underway across the Binance and BNB Chain ecosystem. BNB Chain is expanding tokenised equities such as bStocks, while Binance has launched Agent OS to give AI applications access to market data, account functions, and trading infrastructure.

Together, those moves point toward a market where more assets are programmable and more agents can act. De[1] wants to turn live execution into continuous learning, helping agents move from simple execution to real-time adaptation.

What's next? De[1] said further details will come through its official channels on how users can join the Financial World Model and its contributor ownership framework.

The signal: As tokenised assets and AI agents converge onchain, the race is on to build the intelligence layer that lets those agents understand real market behaviour, not just execute trades — and YZi Labs is betting De[1] can supply it.

Image credit: Generated with Gemini