LLM Factory
Fine-tune LLMs on your data. Compare. Benchmark. Deploy.
A fine-tuning pipeline that turns your data into specialized models — compared and benchmarked against the industry's leading models, then delivered ready to run on the sovereign devices we sell.
Your data, your model
LLM Factory fine-tunes open-weight language models on your own datasets — support conversations, domain documents, structured workflows — producing a model that speaks your business instead of a generic one.
- Dataset preparation and training pipeline, run on our hardware or yours.
- Grounded-answering recipes for models that cite your sources instead of inventing answers.
Fine-tuned models, delivered on your devices
The Factory and our Sovereign Devices are one offer: we train or fine-tune a model for your use case, then deploy it on the sovereign hardware we sell — a GB10-class device (or a stack of them) arriving with your model installed, serving, and maintained.
- Train or fine-tune on your data, deploy on your sovereign device — one accountable provider for both.
- The resulting model runs entirely on-premise: your training data and your inference stay yours.
- Updates and re-tunes ship to the same hardware through our remote install channel.
Compare and benchmark
Every fine-tune is measured, not assumed: the pipeline evaluates candidate models side by side and benchmarks them against leading industry models on your tasks. You see where a specialized model wins, where it doesn't, and what it costs to run — before you commit.