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ಕನ್ನಡ Voice AI · Now in Indian Languages

Kannada Voice AI
That Speaks Every Bhasha
Your Customers Do

Rootle's multilingual Voice AI Agents understand Kannada, Kanglish, and 22+ Indian languages, and they don't just translate what's said, they actually hold a conversation.

Natural Kannada Conversations
Zero Accent Bias
Real-Time AI
Live Voice Agent - Kannada
ನಮಸ್ಕಾರ! ನಾನು ನಿಮಗೆ ಹೇಗೆ ಸಹಾಯ ಮಾಡಬಹುದು?
"Hello! How can I help you today?"
ಕನ್ನಡ
हिंदी
मराठी
தமிழ்
తెలుగు
മലയാളം
Trained on Karnataka's accents & dialects
44M+
Kannada Speakers in India
22+
Indian Languages Supported
3x
Higher Engagement in Native Tongue
60%
Reduction in Call-Centre Costs
<1s
Response Latency
The Opportunity

Why Kannada Voice AI Is the
Biggest Unlock for Karnataka Businesses

Over 90% of India's internet users prefer content in their native language, and Karnataka is no different. Most AI tools out there are still built with English as the default, which leaves a huge share of Kannada speaking customers underserved, whether they're calling in from central Bengaluru or a village outside Hubballi.

Rootle's Kannada Voice AI Agents close that gap. A collections call in Mysuru, an insurance query in Belagavi, a fintech onboarding call somewhere in rural Kalaburagi - our agents speak in the language people actually think in, not the one they're forced to make do with.

ಕನ್ನಡ
Kannada-first IVR & phone agents that close out queries end-to-end - no routing to a human agent Fully automated inbound and outbound calling handles everything from balance checks to loan applications, all in natural spoken Kannada.
↓ 60% call-centre cost
Understands Kanglish, mid-sentence code-switching, and regional dialects as a first-class capability No rigid scripts or decision trees pushing customers down a path - just real, open-ended conversations that feel natural whether someone's from Bengaluru or Ballari.
95%+ intent accuracy
Native language interactions that convert 3x better than English-only flows - measurably, consistently Proven across BFSI, e-commerce and D2C sectors, where vernacular-first outreach means higher completion rates and fewer drop-offs.
3x higher conversion
Capabilities

What Rootle's Kannada Voice AI Can Do

Built specifically for Kannada conversations, not retrofitted from an English model.

Natural Kannada Speech Recognition
Picks up spoken Kannada, Kanglish, and mixed-language input accurately, even with regional accents, background noise, and the casual phrasing people actually use day to day.
ASR · STT
Conversational AI Agents
LLM-powered agents that carry a full conversation in Kannada, reading context, intent, and even tone, without falling back on rigid decision trees.
LLM · NLU
Human-like Kannada TTS
Ultra-realistic Kannada voice synthesis with natural prosody and intonation - none of that flat, robotic monotone. Multiple Kannada voice personas to pick from.
TTS · Voice Cloning
Code-Switching & Kanglish
Handles mid-sentence language switches without missing a beat - from "Nange ondh loan beku" to "I want to check my balance," all within the same call.
Multilingual NLP
Omnichannel Deployment
Deploy Kannada Voice AI on phone calls, WhatsApp, IVR systems, and web platforms - wherever your customers already prefer to reach you.
Telephony · WhatsApp
How It Works

From Spoken Kannada to Smart Action
in Under a Second

Step 01
Customer Speaks Kannada
Customer calls in or starts a voice interaction in Kannada, Kanglish, or any supported Indian language. No app to download, nothing to type, just talk.
Voice Input · Any Device
Step 02
AI Understands Intent
Rootle's speech recognition and NLU engine transcribes and works out what's being asked - dialect, accent, and context included. Regional slang and Kanglish are handled natively, not bolted on.
ASR · NLU · Intent Detection
Step 03
Agent Acts Intelligently
The LLM-powered agent reasons through the request, pulls the relevant data, and shapes the right response - no scripts, no fixed menus. Fully context-aware and working toward an actual outcome.
LLM · RAG · Business Logic
Step 04
Natural Kannada Response
A human-like Kannada voice delivers the answer in real time - resolving the query outright or escalating to a person when it needs to. Start to finish, the whole loop wraps up in under a second.
TTS · Real-Time · <1s Latency
Case Study

Real Clients, Real Results

Financial Advisory · Lead Qualification

How Rootle Built Voice AI Calling Capacity for a SEBI-Registered Advisory Scaling to 1,000 Calls a Day

NBFC / Advisory · Inbound Voice Agent
Built calling capacity sized for where enquiry volume was headed, not where it stood, ahead of a jump from roughly 500 to 1,000 calls a day within two months
Qualified every caller live on the line, reading trading experience and intent, so the sales team only picked up leads worth their time
Kept every response inside what a regulated advisory can actually say on a call, with a clean handoff the moment a question needed a licensed advisor
Routed qualified leads straight into the CRM with the call context attached, so nobody on the sales side had to ask a caller to repeat themselves
Read More
100%
Call answer rate, even at peak volume
1,000+
Calls a day capacity, built in from day one
2-3min
Average handle time held steady as volume grew
24/7
Enquiry coverage, including outside business hours
KPI-First Approach

KPIs That Actually Matter

A few of the results Rootle's Voice AI agents have delivered for real clients,
across industries, not projections from a pitch deck.

Shriram Finance
200%
Conversion lift on after-hours customer queries
Creddinv
10k+
Investor qualification calls handled a month
Kalki Fashion
2.1x
Footfall over target for a new store launch
Multyfi
1,000+
Enquiry calls a day handled without a drop