Who we work with
Indian AI Training 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.
- Typical engagement
- 100-300 hours of dual-channel simulated calls per language
- Languages
- 14 + Indian English
- Model
- Direct or white-label
The problems that bring teams here
- Production audio is 8 kHz telephony; models trained on studio audio degrade sharply
- Real call recordings carry consent and PII constraints that block their use for training
- Escalated and emotional speech is under-represented but drives the hardest failures
What you are actually buying
Need 500 hours of Marathi speech from 1,000 speakers? Need 2,000 Hindi speakers? Need natural Hinglish conversations? Need Indian English accents across substrate groups?
Those are specifications, not projects. Send the spec and you get a quote against it. If the spec is not written yet, a 20-minute scoping call produces one.
How teams like yours evaluate a data partner
- 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?
Typical scope
100-300 hours of dual-channel simulated calls per language, with intent and outcome labels.
Contract and licensing points you will raise
- Consented synthetic-scenario audio with no real customer PII
- Scenario library ownership
- Per-scenario volume guarantees
How the engagement runs
- You send requirements, or we scope them with you
- We return a written specification, timeline and fixed quote
- You approve; recruitment and prompt design begin
- Sessions run across the studio network with progress reporting
- QA, packaging and staged delivery against the manifest schema you specified
The numbers we hold ourselves to
- 100% of delivered files pass automated technical QA for SNR, clipping, duration and silence
- 5-25% of files pass a second native-speaker content review, stratified by city, dialect and transcriber, and escalating to 100% on any batch that fails the agreed threshold
- Accepted yield runs 85-90% for scripted speech, 60-70% for spontaneous, 55-65% for conversational and 50-60% for telephony
- Default cohort quotas: 50/50 gender, with age bands at 30% (18-25), 40% (26-40) and 30% (41-60)
- 48 kHz / 24-bit capture, delivered as 16-bit PCM WAV, with studio sessions held below a -50 dBFS noise floor
- First response within one working day; a scoped, fixed quote within two to three
These are the figures a delivery is measured against, not aspirations. A batch that misses them is re-recorded at our cost rather than repaired.
Frequently asked
How quickly can you start?
Specification and recruitment usually take one to two weeks; recording starts immediately after. Low-resource languages take longer to field and should be started first in a multi-language programme.
Can you work under our brand?
Yes. White-label delivery is standard for data vendors and platforms who hold the end-client relationship.
Do you handle consent and provenance?
Every participant signs consent covering AI training and downstream model distribution, and consent records map to file and item IDs in the delivered manifest.
What if a batch fails QA?
It is re-collected. The commercial terms cover re-collection rather than partial credit, because a partially usable dataset costs you more than a late one.
Send us your requirement
Language, hours, speakers, demographics, format, deadline. That is enough for a quote.