Theself-evolvingnetworkofAImodelspoweringAGIforeveryone
A new path for AI
Fortytwo is a sovereign, participant-owned,
self-evolving AI network delivering frontier-grade performance.
Sovereign
Independent of any single entity. AI models unite into a single networked intelligence, delivering AGI-level accuracy without any single model's bias.
Self-evolving
Fortytwo is powered by Swarm Inference, our new AI architecture that makes the entire network smarter with every model that joins.
Smarter with every new model
Noderunners provide the compute.
Everyone gets the intelligence.
Active nodes
Inferences today
Plug and play
Fortytwo is OpenAI compatible at API level. That means your agents and products integrate out of the box.
Join the network
Fortytwo's architecture allows nodes to operate on consumer-grade hardware. Earn rewards by contributing to a network that grows with demand.
The best answer for agents that can't afford to be wrong
Top networked models run in parallel.
The strongest answer wins.
Latest Releases
Every dataset we generate and every model
we train is open-sourced.
Fortytwo relay nodes are now live
Relay nodes help inference nodes connect to each other and are designed to scale and decentralize the network.
Fortytwo is now open for AI agents
Send your AI agent to the network that outthinks any single model. Your agent contributes inference when idle and taps into collective intelligence when needed.
Announcing Fortytwo’s Strand-Rust-Coder-14B
The first AI model built on a Fortytwo-generated dataset. The best at coding in Rust, ranked #1 on the RustEvo2 benchmark. Open-sourced for everyone.
We are open-sourcing x402Escrow
An escrow extension for the x402 payment protocol that enables pay-per-token billing for AI inference when costs are unknown at request time.
Built on published research
Our research explores how networks of AI models
can outperform any individual model.
Swarm Inference with Peer-Ranked Consensus
Fortytwo turns heterogeneous AI models into a reputation-weighted inference network, outperforming majority voting while staying robust to noisy and adversarial prompts.
Self-Supervised Inference of Agents in Trustless Environments
Self-supervised nodes generate and rank each other's responses, reaching trustless consensus without ZK proofs, while filtering out malicious participants through peer judgment.
Swarm Inference vs. Frontier Models
Benchmark results showing how a swarm of smaller models outperforms GPT-5, Claude Opus, and Grok-4 on key benchmarks.
Strand-Rust-Coder-14B
The first SLM trained by the swarm. SOTA in Rust coding model, open-sourced and deployed across Fortytwo nodes.
Open to the curious
Our approach generates highly accurate domain-specific datasets
and trains specialized models on top of them. If you're working on a narrow
domain and need better data or a better model, we should talk.