Swani · Voice AI
Voice AI that actually speaks to your customers.
Swani 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.
Swani · Live call
Hindi / English · 00:42
Swani
Namaste! I'm calling about your loan application.01The 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.
02Use 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.
03Languages
Built for how your customers actually speak.
Swani 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. Swani follows the conversation without losing context.
- MLMalayalam
- TATamil
- HIHindi
- KNKannada
- TETelugu
- ENEnglish
Contact us about additional languages for your specific deployment.
04How 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
Swani 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.
05Built 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. Swani was built with these constraints as requirements, not afterthoughts.
On-premise deployment
Swani 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.
06Why Not a Global Platform
Built for India, not adapted to it
| Global voice platforms | Swani | |
|---|---|---|
| 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 |