Vaani  ·  Voice AI

Voice AI that actually speaks to your customers.

Vaani handles customer service and collections calls in the languages your borrowers speak not an approximation of them. Configure new workflows without writing code. Deploy on-premise where call data can't leave your building.

Live call · Vaani agent 02:14
Customer
Malayalam
"എൻ്റെ loan balance എന്ത് ആണ്?"
Vaani
Your outstanding balance is ₹1,24,500. Would you like me to send a statement to your registered number?
Customer
Code-switch
"Ha, please send cheyyoo WhatsApp-il."
Vaani
Statement sent to WhatsApp. Is there anything else I can help you with today?
Streaming ASR
Malayalam
Tamil
Hindi
Kannada
Telugu
Code-switching handled natively customers rarely stay in one language for a full call.

The Problem

Global voice AI handles Indian languages badly. So the calls stay manual.

A lender in Kerala calls a borrower in Malayalam. A collections team in Coimbatore calls in Tamil. A customer in Kochi switches between Malayalam and English inside a single sentence, because that's how people actually talk.

Global voice AI platforms handle this badly. Their speech recognition is trained overwhelmingly on English and a handful of European languages. Indian language support, where it exists, is a checkbox rather than a capability.

So the calls stay manual. Which caps how many customers you can reach, makes collections coverage a function of headcount, and leaves service quality dependent on who happens to pick up the phone.

Accuracy collapses on regional accents

A Kerala Tamil speaker sounds nothing like a Chennai Tamil speaker. Generic ASR systems trained on standard pronunciation fail on both.

Code-switching breaks the transcript

"Ha, please send cheyyoo" half Malayalam, half English. Global platforms lose the thread and the entire turn is garbage in your CRM.

Synthetic TTS ends calls early

Text-to-speech output that sounds unmistakably robotic in Indian languages makes borrowers hang up before the conversation is complete.

Data leaves the country

Cloud-only platforms send call recordings and PII to infrastructure you don't control and can't tell your auditors where it went.

Use Cases

The calls your team makes every day, handled at scale

Collections & Reminders

Payment due reminders, overdue follow-ups, payment plan discussions, promise-to-pay capture. Calls scale to the full book rather than the portion your team can reach. Every conversation is logged and auditable.

Customer Service

Account balance and statement queries, loan status, branch and product information, service request logging. Available outside business hours without a night shift.

Verification & Onboarding

Tele-verification calls, document follow-ups, appointment confirmations. Structured outcomes written back to your CRM automatically.

Outbound Campaigns

Product eligibility calls, renewal reminders, feedback collection. Run at scale across your full portfolio without additional headcount.

Languages

Built for how your customers actually speak.

Vaani handles code-switching within a conversation, which matters more in practice than raw language count. Customers rarely stay in one language for a full call and an agent that breaks when someone drops an English word mid-sentence isn't usable in Indian retail lending.

Code-switching, handled natively

"Ha, please send cheyyoo WhatsApp-il." Half Malayalam, half English. Vaani follows the conversation without losing context.

ML Malayalam
TA Tamil
HI Hindi
KN Kannada
TE Telugu
EN English

Contact us about additional languages for your specific deployment.

How It Works

From configuration to conversation to outcome

1

Configure

Define the workflow what the agent is calling about, what it needs to find out, what it's permitted to say, and when it must transfer to a human. No code needed.

2

Connect

Vaani connects to your telephony over SIP and to your systems over API, so the agent has the customer context it needs during the call.

3

Converse

Streaming speech recognition transcribes as the customer speaks. The dialogue engine reasons over your policies. Speech synthesis responds in natural voice.

4

Escalate

When a call moves outside scope, a customer requests a human, or sentiment indicates distress the agent transfers with the full transcript already in hand.

5

Review

Every call produces a transcript, structured outcome data and an audit trail, written back to your CRM or collections system automatically.

Built for Regulated Lenders

Voice AI in Indian financial services isn't just a technology question.

Call recordings contain customer PII. Collections calls are governed by conduct rules. Your auditors will ask where the audio went. Vaani was built with these constraints as requirements, not afterthoughts.

On-premise deployment

Vaani runs entirely inside your infrastructure on NVIDIA GPU hardware. Call audio, transcripts and customer data never leave your network.

Full auditability

Every call logged with transcript, timestamps, agent decisions and outcome. Reconstructable end to end for compliance review.

Guardrails on conduct

Calling window restrictions, scripted disclosure requirements, prohibited-language rules and mandatory escalation triggers are enforced at the platform level.

Human handoff by design

The agent is built to know when to stop and transfer not to keep a customer trapped in an automated loop.

Why Not a Global Platform

Built for India, not adapted to it

Global voice platforms Vaani
Indian language ASR Limited accuracy drops on regional accents Primary design target
Code-switching Frequently breaks transcription Handled natively
Deployment Cloud only data leaves the country On-premise or in-country cloud
Telephony Built for Western carrier assumptions Indian SIP and PSTN providers
Compliance Generic Built around RBI-regulated workflows

Hear it in your customers' languages

We'll run a demo call in Malayalam, Tamil, or whichever language your borrowers speak including code-switching so you can judge the quality yourself before the conversation goes any further.