Kenomic brings token-economics simulation to Arbitrum as mainnet looms

Kenomic is planting its flag on Arbitrum. The token-economics platform, a Cointelegraph Accelerator portfolio company, is already live on testnet across several EVM chains, Arbitrum among them, and is pushing toward a multichain mainnet. Integrations for non-EVM networks including Solana, Cardano and Stellar are set to follow.

The pitch: token design and deployment shouldn't be scattered across a pile of vendors. Kenomic splits the lifecycle into four composable modules, Design, Validate, Launch and Manage. Design turns a proposed economy into a defined mathematical model that teams can adjust through Keni, a conversational AI interface, covering supply, allocations, unlock schedules and incentive mechanisms.

The gap it's chasing is real. Template-based launchers cut technical complexity but leave little room for deeper economic modeling, while bespoke workflows spread responsibility across tokenomics consultants, developers, auditors, legal advisers and operational providers. That route can eat months and six-figure costs before a token ships, and assumptions around allocations, unlocks or liquidity can drift between the original model and the deployed contracts.

Validate is where the numbers get put under pressure. Kenomic's simulation engine builds a digital twin of the token economy and runs it through thousands of scenarios, including sudden sell pressure, vesting cliffs, treasury behavior and shifting liquidity. The point is to find where a structure turns unstable before real capital is exposed, rather than after.

CEO and co-founder Rayco Tarrida frames the failure mode as a design problem, not a launchpad problem, saying projects fail because the token that shipped was never the token that was designed and nobody ran the numbers on either. He also sketches the destination, telling readers the world will be tokenized and an increasing share of it operated by agents rather than by people in meetings.

Kenomic opens the stack through a Model Context Protocol server, API and SDK, letting applications and AI agents interact programmatically with all four modules. Its near-term focus is crypto-native assets such as utility and community tokens, with tokenized real-world assets and securities further out, where licensing, transfer restrictions, holder eligibility, custody and jurisdictional compliance change the operational layers. Simulation doesn't erase uncertainty, the company notes, since live markets can still outrun any model.