the prediction
market for the
AI era
the most efficient market microstructure, with fully trustless, verifiable execution.
testnet opening soon
traders compete on price, not speed
orders don't execute first-come-first-served. they collect over a short window and clear at one fair price — so trading rewards the best information and pricing, not the fastest reaction speed.
FAQ
Existing venues did their job — they popularized the idea and grew the audience. Now they’re drifting into casinos with a thin slice of genuinely important markets, sitting under strict American oversight. Sybil takes the other path. Building a prediction market from scratch, properly: the most efficient market microstructure, verifiable trustless settlement, privacy by default, and maximum capital efficiency. To dive deeper, check our substack ↗ and research page ↗.
Almost every existing prediction market is an AMM or a CLOB — both a poor fit for prediction markets, and a nightmare for market makers, who survive only on heavy liquidity rewards. In frequent batch auctions, orders collect over a short window and clear at one uniform price, radically lowering the bar for market making and removing the speed race and news sniping. To know more, check our articles ↗ and math paper ↗.
Sybil is a general prediction market, but it starts where competitors are weakest — publicly important markets that are underserved, or simply not viable on a CLOB: AI markets, and long-tail political events outside the US.
Testnet is planned for mid-summer. Mainnet follows in autumn.
still early