Key Takeaways:
Gensyn launched Delphi on mainnet April 22, 2026, marking the community’s first reside utility with actual financial worth. Delphi’s price mannequin burns 70% of protocol income and routes 29% to a Group Treasury, affecting AI token provide. Market creators earn 1.5% of buying and selling quantity, with the $AI token technology occasion anticipated within the coming weeks.
Gensyn’s Delphi Goes Reside
Delphi is a permissionless, AI-settled data markets platform. Anybody can create a market on any subject, from bitcoin value targets to sports activities outcomes to geopolitical occasions. Customers purchase and promote positions on outcomes, and synthetic intelligence (AI) fashions deal with settlement somewhat than conventional oracles.
The platform makes use of a symmetrical Logarithmic Market Scoring Rule, or LMSR, as an automated market maker. Pricing adjusts in actual time primarily based on capital flows. No order books or counterparties are required, and liquidity is obtainable from the primary commerce by means of settlement.
Gensyn launched Delphi on testnet in December 2025 as an “open marketplace for machine intelligence,” initially centered on AI mannequin efficiency benchmarks. Since then, the platform expanded to cowl any resolvable query. One sports activities market on testnet drew greater than 87,000 merchants and recorded $4.88 million in quantity. An Oscars market attracted greater than 45,000 merchants.
Market creation is open to anybody. A consumer poses a query, defines binary or multi-outcome outcomes, seeds preliminary liquidity, and selects a number of AI fashions to behave because the settlement oracle. Creators write a decision immediate that the mannequin runs when the market closes. If nobody settles the market inside 24 hours of closing, it auto-settles, the creator forfeits their liquidity contribution, and merchants are refunded.
Gensyn additionally constructed an non-compulsory verifiable settlement layer known as the Reproducible Execution Surroundings, or REE. Markets utilizing REE generate a cryptographic receipt that enables unbiased verification of the AI’s computation. These markets are tagged “Verifiable” within the interface.
The price construction is about at roughly 2% of buying and selling quantity. Market creators obtain 1.5% of that quantity robotically upon settlement, usually paid in stablecoins. The remaining roughly 0.5% flows to the AI BuyBack Vault.
From the vault, 70% of collected protocol charges are completely burned, creating deflationary strain on the AI token provide. One other 29% goes to a Group Treasury designated for improvement, grants, liquidity, and analysis. The remaining 1% covers vault executor rewards.
The AI token technology occasion has not been introduced, although markets on Delphi are already buying and selling predictions tied to it. Testnet used worthless TEST tokens, and mainnet buying and selling now includes actual property.
Delphi is accessible at delphi.gensyn.ai. Lively markets embrace crypto value targets for bitcoin and ether, Brent crude, sports activities outcomes, and present occasions. New markets are being added recurrently by each the Gensyn crew and the broader group.
Gensyn is positioning Delphi as greater than a prediction market. The platform is designed so AI fashions can take part straight as predictors, incomes from correct resolutions. That setup is supposed to fund open-source AI improvement by creating direct monetary incentives tied to mannequin efficiency.
The creator economic system angle can also be central to the design. Content material creators or group organizers can construct markets tied to their audiences, earn charges from buying and selling quantity, and monetize engagement with out counting on promoting or platform intermediaries.
Delphi enters a market that features established gamers like Polymarket, although Gensyn’s AI-first settlement strategy and verifiable execution layer set a unique technical basis. The mainnet launch places actual stakes behind an structure that testnet numbers counsel customers are keen to have interaction with at scale.
