Voice AI Built for the Trust
Banking Demands

Automate collections, KYC, fraud alerts and loan servicing in the customer's language. Shunya connects voiceconversations to your policies, account data and core systems, so customers can get answers andcomplete actions without navigating rigid IVR menus.

3.10%

Composite WER

#1

OpenASR Leaderboard

216+

Languages Supported

240+

Concurrent Streams/GPU

What it handles

From First Contact to Final Resolution,Handled in One ConversationFrom First Contact to
Final Resolution,
Handled in One Conversation

Financial conversations rarely follow a script. Shunya listens for intent, understands context and respondswith the right information or action, across languages and across the customer lifecycle.Financial conversations rarely follow a script. Shunya listens for intent, understands context and responds

Tone · Empathetic
0
EMI due tomorrow
LoanPL-6612 · ₹6L
ResolutionPromise-to-pay · 9th
Collections & Recovery
AgentNamaste Rahul ji, your EMI of ₹12,480 is due tomorrow.
CustomerSalary thoda late hai. 5 din mil sakte hain?
AgentI can schedule a promise-to-pay for the 9th. I'll record that for you.

Promise-to-pay logged directly in the LMS - no agent follow-up needed before the 9th.

Handle repayment reminders, payment commitments and recovery conversations with the right language, tone and escalation path.

See Shunya in Action

Why Shunya

Built for the Realities of Regulated Finance

01

Understands the Way Customers Actually Speak

Customers don't speak in perfectly structured sentences. They switch languages, interrupt, use local expressions and explain problems in their own way. Shunya is built to handle natural, multilingual and code-switched conversations.

02

Grounded in Real Account Context

Connect Shunya to your core banking, lending, CRM and policy systems so responses are based on the customer's actual account, loan or policy data, not a generic knowledge base.

03

From Conversation to Action

A voice agent should do more than answer questions. Shunya can trigger workflows such as logging a promise-to-pay, updating a request, initiating a service action or escalating to a human with the conversation context intact.

04

Built to Scale Financial Operations

Handle routine servicing, collection cycles, campaign peaks and high-volume customer outreach without adding proportional headcount or compromising response quality.

Security and Control Built IntoEvery Conversation

Keep sensitive financial interactions within the deploymentand governance model your organisation requires, withcontrolled workflows, system integrations and auditableconversation records.

Reserve Bank of India

RBI Aligned

Insurance Regulatory Authority

IRDAI Compliant

Information Security

ISO 27001 Certified

Digital Personal Data Protection

DPDP Act Ready

See It Work

A Customer Asks.
Shunya Takes Action.

See how Shunya handles a real financial-service request by understanding the customer's intent, retrieving account context and completing the right workflow in the same conversation.

Account Data: ConnectedCore Banking: LiveLanguage: Hindi + English

LIVE CALL

Duplicate debit · resolved

00:28

Intent

Reverse Debit

Ledger

Updated

Confidence

97.8%

Integrations

Works With the Systems Your FinancialOperations Already Run On

Shunya connects to the systems that hold your customer, account, loan, policy and conversation data, soyour voice agents can work with live business context instead of operating as a standalone bot.Shunya connects to the systems that hold your customer, account, loan, policy and conversation data, so

Lending & Collections

EMI status, recovery workflows

LOLOSLMLMS

CRM & Helpdesk

Customer context, tickets, escalation

SASalesforceODOdooZOZoho Desk

Telephony & CPaaS

Inbound routing, outbound calls

TWTwilioEXExotelPLPlivoKNKnowlarityCICisco

Messaging

Confirmations and follow-ups

WHWhatsApp BusinessSMSMS & RCSEMEmail

Payments & Data

Payment workflows and analytics

RARazorpayPAPayUSNSnowflakeSIS3 IntegrationGOGoogle SheetsLOLooker StudioMOMongoDBZAZapierCUCustom analytics available

Running Something Custom?

Connect Shunya to your existing systems through APIs and webhooks. Keep your current systems of record while Shunya becomes the voice layer that understands, responds and acts.

“Collection follow-ups used to take up a significant part of our call volume. Shunya helped us automate those conversations while still speaking to customers in the language they were most comfortable with.”

Head of Customer Experience

Leading NBFC

Questions

BFSI Voice AI, Explained Simply

Can Shunya access live customer or account information?

Yes. When connected to your core banking, lending or CRM systems, Shunya can retrieve the information required to answer a customer's request using the relevant live account context.

Can it actually complete financial workflows?

Yes. Shunya is designed to go beyond answering questions. Connected workflows can allow the agent to trigger approved actions such as recording a payment commitment, raising a service request or initiating an account-related workflow.

Can customers speak in Hindi or switch between Hindi and English?

Yes. Shunya supports multilingual and code-switched conversations, allowing customers to speak naturally instead of being forced to stay within one language.

Can Shunya handle collections?

Yes. It can support repayment reminders, promise-to-pay conversations and collection outreach, including high-volume collection periods.

What happens when a conversation needs a human?

The conversation can be escalated to a human agent with the relevant context carried forward, so the customer does not have to repeat the entire issue.

Can Shunya work with our existing banking infrastructure?

Yes. The platform is designed to connect through APIs and webhooks to existing core banking, lending, CRM, telephony and internal systems.

How is sensitive financial information handled?

Shunya supports enterprise security and controlled deployment options. The exact security, data-residency and compliance configuration should be defined according to the organisation's requirements and deployment environment.