Call Centre AI Companies · IVR & Voice Bots
IVR & Voice Bots Data for Call Centre AI Companies
Agent-assist, QA-automation and voice-bot vendors serving Indian BPO and enterprise contact centres, working with narrowband telephony audio and heavy accent variation. Deploying automated telephony flows that hold up against real Indian callers on narrowband lines.
- Buyer
- Call Centre AI Companies
- Use case
- IVR & Voice Bots
- Metric
- Intent accuracy
Where the two meet
Production audio is 8 kHz telephony; models trained on studio audio degrade sharply That is a ivr & voice bots problem, and it is solved by data shaped like this:
- Telephony-bandwidth audio
- Dual-channel calls
- Intent-labelled utterances against a live taxonomy
Your evaluation criteria
- Is narrowband simulated at capture, not by downsampling studio audio?
- Are agent and customer on separate channels?
- Are emotion and escalation variants available on demand?
Metrics
- Intent accuracy
- Containment rate
- Barge-in handling
Pitfalls
- Studio audio downsampled to fake telephony
- Scripted callers who never interrupt
- Intent sets written by product, not derived from real calls
Contract points
- Consented synthetic-scenario audio with no real customer PII
- Scenario library ownership
- Per-scenario volume guarantees
Frequently asked
What does a first engagement look like?
Usually a scoped pilot: one language, an evaluation set plus a first training batch, delivered in three to five weeks, followed by the full programme.
Can you match our existing vendor's schema?
Yes. Working to your schema avoids a conversion pass and keeps deliveries comparable across vendors.
How is provenance documented?
Per-item contributor records and consent mapped to IDs in the manifest.
Send your requirement
Language, volume, metric, deadline.