.Live.
SenseVoice
Transcribes speech across 41 languages with sub second latency and handles being interrupted mid sentence. Every voice product in the portfolio runs on it.
Performance
Built for Bangla first, not adapted to it
Bangla speech accuracy
Languages supported
Latency on live calls
Figures are from our own benchmarks. We will run the model against your audio during evaluation.
Why it exists
Global speech models treat Bangla as an afterthought
They are trained on English and a handful of major languages, and code switching mid sentence defeats them.
Trained on local speech
Built in house over eight years on Bangla audio, including regional accents and noisy phone lines.
Handles code switching
Bangla and English inside one sentence is the normal case here, not an edge case.
Interruptible
Callers talk over the system the way they talk over people. It keeps up rather than restarting.
Where it runs
The speech layer under the whole portfolio
FinSense AI
Voice onboarding and in app transactions for banks, spoken in Bangla.
UniSense AI
The Support and Sales agents hold live voice conversations on it.
AIHubspot
Sits under the transcription and audio tooling in the hub.
Deployment
API or inside your own environment
Fastest start
Hosted API
- Point your application at the endpoint
- Streaming and batch transcription
- No infrastructure to stand up
For regulated environments
On premise
- Runs inside your data centre
- Audio never leaves your perimeter
- Sized with your infrastructure team
The models are ours end to end, so an on premise deployment does not depend on a third party provider's licence.
Hear it on your own audio.
Send us a sample from your call centre or branch network and we will run it against the model.