Turn your own data into specialized models - finetuned from any open-weight base - and run them at whatever scale you have, from one GPU to a datacenter. Owned by you, operated on your own infrastructure.
Today, real AI capability is rented from a handful of companies. You pay per token, your data leaves your network, and the model changes under you. We believe specialized intelligence should be something you own, run on your own terms, and improve over time - like open-source software did for code.
Start from any open-weight model. A finetuning pipeline turns it into an expert at your work - a doctor's office whose files never leave the building, a town hall that speaks a language the big models barely know, a company whose codebase becomes an assistant. The base does the general thinking; your data makes it yours, and it runs where you decide.
Anyone can run a training script. The durable value is the pipeline that turns messy, real-world data into a working model - gathering it, cleaning it, structuring it, finetuning with it. That craft is the same whether the model is small or large, so the recipe scales up as easily as it scales down.
A small team finetunes a compact model on the GPU it already owns. A company finetunes a large one on serious hardware, privately. Same recipe, sized to your hardware and budget - to each their needs. And when you outgrow one machine, the same pipeline runs on a cluster.
The platform and what it can train grow together, step by step.
Curate data, finetune open-weight models (SFT/RLVR), deploy on your own hardware. A growing library of examples to start from.
A wrapper that turns a dataset into a specialized model - on your own GPU, or on ours when you'd rather we did it.
Support for more open-weight families and larger models, and pipelines that produce AI agents which automate real work - not just answer questions.
From a single laptop to a datacenter, individuals and companies run their own models - private, on their terms, free of per-use bills.
Turn your data into models you keep. Run them at any scale, on your own infrastructure. That's the whole idea.
Tell us what you want to build