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OWNERSHIPTIER 3 · ENTERPRISE-SCALE AI SYSTEMS

Your Own Fine-Tuned LLM

A private language model trained on your business — deployed on your infrastructure, weights and all.

The problem it solves

Generic AI assistants don't know your part numbers, your pricing rules, or how your team actually quotes an order — and sending your catalog, customer, and order data to a third-party API is a non-starter for many enterprises. Renting intelligence about your own business, forever, is the old licensing trap in new packaging.

What it does for your business

Speaks your catalog fluently

Fine-tuned on your product data, order history, and documentation, the model answers in your terminology — part numbers, units, contract terms — not generic retail language.

Powers real workflows

Product content generation at catalog scale, a quoting assistant that knows your pricing rules, customer-support drafting grounded in your policies, and agent workflows on your eComchain platform.

Runs where your data lives

Deployed on-premises or in your own cloud account. Prompts, outputs, and training data never leave your environment — a clean answer for security review and data-residency requirements.

Yours, permanently

You own the fine-tuned weights the way you own your source code on eComchain. No per-seat AI fees, no usage meters, no vendor renting your own knowledge back to you.

The numbers it moves

Catalog content production time down Quote turnaround time down First-draft support response time down Third-party AI API spend down

How it works

An open-weight foundation model fine-tuned on your curated business data, evaluated against your real tasks before deployment, and served from your infrastructure with access controls your IT team governs.

What we need from you

Representative data for the workflows you want — catalog, documentation, historical quotes or support threads — plus a deployment target (your cloud account or on-prem hardware). Data preparation and curation are part of the engagement.

Talk through Your Own Fine-Tuned LLM with our team

A 30-minute conversation on your architecture and goals — with live demos of the underlying models where they exist today.

Request a Demo