Fortytwo operates a decentralized, participant‑owned AI network called Swarm Inference, where many small language models run on consumer‑grade hardware and collaboratively generate high‑quality responses. The network aggregates and ranks these outputs to deliver frontier‑grade reasoning performance through an OpenAI‑compatible API, allowing developers and enterprises to integrate advanced AI while earning protocol‑level rewards for valuable inferences.
Funding
$2.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
7OBBFounders
Product
Problem
Access to high-performance AI models is limited by centralized infrastructure, high compute costs, and proprietary ownership, restricting developers and organizations from leveraging cutting‑edge reasoning capabilities at scale.
Solution
Fortytwo provides a decentralized, participant‑owned AI network called Swarm Inference, where a community of nodes runs small language models that collaboratively answer queries. Each node contributes a specialized model, and the network ranks and merges responses to produce a single, high‑quality output that outperforms leading frontier models on benchmarks. The architecture is OpenAI‑compatible at the API level, allowing seamless integration with existing agents and products. Participants can run nodes on consumer‑grade hardware and earn protocol‑level rewards for valuable inferences, creating a self‑evolving ecosystem that continuously improves as new models join.
Target Audience
Primary users are AI developers, enterprises, and research teams that require advanced reasoning capabilities and want to integrate AI via standard APIs while benefiting from a decentralized, cost‑effective compute model.
Features
- Swarm Inference architecture that aggregates and peer‑ranks outputs from hundreds of independent small language models
- OpenAI‑compatible API for plug‑and‑play integration with existing applications and agents
- Participant‑owned reward system that distributes incentives for high‑quality inferences at the protocol level
- Ability to run network nodes on consumer‑grade hardware, lowering entry barriers for contributors
- Open‑sourced datasets and models (e.g., Strand‑Rust‑Coder‑14B) generated by the swarm for domain‑specific tasks
- Demonstrated benchmark superiority on reasoning tests (AIME, LiveCodeBench, GPQA Diamond) and resilience to extraneous information and prompt noise