Custom Model Fine-tuning for Education & EdTech

Fine-tuning earns its cost at volume: when a smaller tuned model matches a frontier model on your narrow task at a fraction of the price per call.

In education & edtech, student data protection and academic integrity constrain what may be automated at all. 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 attendance and records automation, usually integrated against LMS. 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.