LLM Cost Optimisation for Education & EdTech

Orqent Labs audits AI spend and typically removes 40 to 70% of it with no measurable quality loss, and we show the benchmark both ways.

In education & edtech, student data protection and academic integrity constrain what may be automated at all. That single fact reshapes how llm cost optimisation 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 content adaptation by level, 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. You own the code, the models where they are open-weight, and the documentation to run it without us.