Enterprise AItranscription that scaleswithout compromise.

Off-the-shelf ASR is trained on general conversational audio and caps around 92–94% on finance content. Our models are trained on financial conversations, layered with a 20,000+ company dictionary and an executive name database — so tickers, currencies, and analyst Q&A all land.

Our acoustic models include accent normalization for the most common patterns on finance calls (US, UK, Indian, Australian English, plus major EU and APAC variants). When confidence drops, our pipeline re-scores against context and the finance glossary rather than degrading silently.

Background noise filtering, cross-talk handling, and codec normalization happen before the ASR step. We routinely handle dial-in audio, low-bitrate cell recordings, and multi-line conference bridges without quality cliffs.

Yes — our processing autoscales with no ceiling we've publicly hit. Customers run thousands of concurrent files with consistent few-minute turnaround. SFTP, cloud-storage sync, REST API, and direct upload are all first-class ingest options.