Most AI products route your company's questions through someone else's model, sitting on someone else's servers. UltimateModel fine-tunes a private model on your own data, keeps it in an isolated store, and lets you export it to run wherever you decide.
Private by architecture
Every tenant gets its own isolated, encrypted storage bucket — encrypted at rest and in transit. Your documents and conversations are never shared or commingled with any other customer's model.
You keep the asset
Export your fine-tuned model as GGUF, publish it to Hugging Face, or export it to run on-premises. You aren't tied to serving through our API forever — the model is yours to move.
Improves from real usage
Real interactions from your team feed preference optimization that keeps the model improving — the self-improving flywheel ships on Professional and above, with GRPO online reinforcement learning and ORPO preference alignment on Business. Every new version is measured head-to-head against the one you're currently serving — if it doesn't clear the bar, your current model keeps serving and the new version is held instead of shipped.
How it works
Documents, transcripts, PDFs, text, audio — whatever defines your knowledge, your voice, or your operations.
LoRA fine-tuning turns your upload into a custom model. No ML background or infrastructure required.
Serve your model through a hosted chat page, an embeddable widget, or an OpenAI-compatible API endpoint.
Real conversations feed preference optimization — self-improving flywheel on Professional and above, GRPO/ORPO on Business. New versions are measured against the one you're currently serving before anything changes what your users see.
Fine-tune a model on your own data, keep it in infrastructure you control, and export it whenever you want. No ML team required.
Keep your weights. Cancel anytime.