Your Own Fine-Tuned LLM

A private model trained on your own business data, deployed where you control it.

The problem it solves

General-purpose AI assistants don't know your part numbers, your pricing rules, or how your team actually processes an order, and routing that catalog, customer, and order data through a third-party API on every request raises real data-ownership and control questions for many organizations.

What it does for your business

Speaks your business fluently

Fine-tuned on your product data, order history, and documentation, so it answers in your own terminology instead of generic language.

Supports real workflows

Catalog content generation, a quoting assistant that knows your pricing rules, and support drafting grounded in your own policies are all realistic starting points.

Runs where your data already lives

Deployed on-premises or in your own cloud account, so prompts, outputs, and training data stay inside infrastructure your team controls.

You own the result

The fine-tuned weights belong to you, not a recurring subscription to a shared, general-purpose model.

Where this moves the needle

Higher accuracy on your own catalog and policies Full control over data residency No per-query dependency on a third-party model Improves as your own data grows
How it works
An open-weights base model is fine-tuned on your curated product, order, and knowledge-base data, then evaluated against benchmarks built from your own tasks before it's trusted with live use.
What we need from you
Your product catalog and documentation, a representative sample of the questions or tasks you want handled, and your target deployment environment, whether that's on-prem hardware or your own cloud account.

Talk through Your Own Fine-Tuned LLM with our team

A working session on your architecture, your data, and where a private model fits your roadmap.

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