Service 03

Custom LLM applications

A working product, not a demo: the model, the guardrails and the interface your team already lives in, shipped as one accountable system.

What it includes

Model selection on your data

We benchmark candidates on your own task set for quality, latency and cost per thousand runs before a line of product code is written.

Every prompt change ships through the same review and test process as code, with a regression suite attached.

The copilot lives inside your CRM, ERP, helpdesk or internal portal, so adoption does not depend on a new habit.

We fine-tune only where it beats prompting on cost or quality, and we prove it with a side-by-side evaluation.

Budgets are enforced in code, with graceful degradation to a smaller model rather than an unbounded bill.

Input filtering, output policy checks and rate limits, tuned to your risk profile and logged for audit.

What you receive

Typical stack

Questions we are asked

Do we need to fine-tune a model?: Usually not at the start. Retrieval, good prompting and structured outputs cover most cases at lower cost. We fine-tune when the evaluation shows it earns its keep.
Who owns the application?: You do. On full payment the deliverables built for you are yours, including the prompts, evaluations and source code.
How do you control the running cost?: Every request carries a budget. We cap tokens, cache aggressively, route easy work to smaller models and report cost per outcome each month.
Can it work offline or air-gapped?: Yes, using open-weight models deployed in your environment. Quality expectations are set against that constraint up front.

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