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Fortytwo

Decentralized AI inference and verification network

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RD Popularity Index

238.00% (24h)
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Project Rank: 1849/12883

RD Growth Index

2120.14% (24h)
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Project Rank: 2576/12883

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About Fortytwo

Fortytwo is a decentralised AI inference network deployed on Monad whose core mechanism is swarm inference: several open models generate answers in parallel, review one another, and a reputation-weighted vote produces the final output. Nodes can run on consumer hardware, and the network exposes an OpenAI-compatible inference service alongside an enterprise on-premise edition and an agent-facing access layer. It targets single-model hallucination and bias, data-egress risk at closed APIs and unpredictable per-token billing, trading multi-model cross-checking for output stability while pushing inference cost onto distributed nodes.

Releases during 2026 included an escrow extension for per-token billing, a new generation of open models and an enterprise deployment option, with one code model ranking first on Rust-related benchmarks. The site reports about 407 active nodes and 6,356 inferences in 24 hours, still an early-stage network; the gap between inference volume and real paid demand needs longer observation, and whether node rewards cover hardware and power costs remains to be established.

Updated: Oct 30, 2026

Fortytwo advanced its decentralized AI inference network through 2026: relay nodes went live to connect and scale inference nodes, it open-sourced x402Escrow ( an escrow extension of the x402 payment protocol enabling pay-per-token billing ) on April 2, and released Strand-Rust-Coder-14B, the first small model trained by its swarm and ranked #1 on the RustEvo2 benchmark.

Its flagship Fortytwo Prime received a Swarm Inference efficiency upgrade in April, the Qwen3.8-27B model launched via an OpenAI-compatible API, and the team published research on Swarm Inference with peer-ranked consensus.

Future strategy and roadmap: Looking ahead, Fortytwo will grow its node network and model lineup, open-source more swarm-generated datasets and specialized models, and strengthen high-reliability, prompt-injection-resistant inference for AI agents.

Updated: Oct 30, 2026

Ivan Nikitin — Co-founder & CEO; co-founded Temporal in 2011 and focuses on swarm reasoning and decentralized AI.

Vladyslav Larin — Co-founder & CTO; Temporal co-founder leading AI and distributed systems architecture.

Alex Firsov — Co-founder & Chief Growth Officer; leads network growth and ecosystem.

Updated: Oct 30, 2026