Speech Recognition & Transcription for Banking

Code-mixing is normal in Indian speech and a general model often mishandles it. We test specifically for the switch points.

In banking, core banking systems are not to be touched, so everything integrates around them. 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 loan file assembly, usually integrated against loan management systems. Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move.

Multi-model by default, so a provider outage is a routing decision rather than an incident. You own the code, the models where they are open-weight, and the documentation to run it without us.