Speech Recognition & Transcription for Education & EdTech

Diarisation matters more than people expect. A transcript that cannot say who spoke is not usable as a record in most professional settings.

In education & edtech, student data protection and academic integrity constrain what may be automated at all. That single fact reshapes how speech recognition & transcription 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 admissions document processing, usually integrated against ERP. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.

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.