Fine-tuning Platform
On the Roadmap

Xenith FineTune

Small-model fine-tuning for narrow classification and style tasks.

Fine-tune leading open-source LLMs on your proprietary data with a no-code interface. Get models that know your domain, follow your format, and speak your language. Coming soon.

Scoped to your deployment

Deployed as a scoped engagement for your stack - not a self-serve trial or live sandbox.

Xenith FineTune: Small-model fine-tuning for narrow classification and style tasks.

How it works

  • No-code fine-tuning interface: upload data, configure, and train
  • LoRA and QLoRA support for efficient training on standard hardware
  • Automated data preparation and quality validation
  • Model evaluation suite with before/after benchmarks
  • One-click deployment to your stack

Who this is for

Legal: models that understand your firm's document style and jurisdiction
Healthcare: clinical note generation tuned to your specialty and EMR format
Finance: models trained on your internal research and analysis style
Engineering: coding assistants that know your codebase conventions

What's included

Typical engagement deliverables

Scoped to your stack and compliance needs. We deploy the working system into your environment and hand over runbooks - not a sandbox login.

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Early access programme. Join the waitlist.

Want Xenith FineTune in your environment?

Book a 30-minute call. We'll map your use case, confirm fit, and outline a deployment timeline - no self-serve trial, no pitch deck.