Custom Model Fine-tuning for Financial Services

We always benchmark against the prompted baseline. If the tuned model does not clearly win on quality or cost, shipping it would be an expensive way to feel sophisticated.

In financial services, every automated decision must be explainable and reproducible months after the fact. That single fact reshapes how custom model fine-tuning has to be built here, the guardrails, the approval points and the evidence trail are design inputs rather than things bolted on before go-live.

The workload we are most often asked to take on first is reconciliation, usually integrated against regulatory reporting platforms. We build the smallest thing that proves the case, put it in front of real users, and expand only what earns its keep.

Deployed across regulated and unregulated sectors, with audit trails where the regulator expects them. We hand over with runbooks, tests and a team that knows how it works, not a dependency.