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Voice & Chat AI

Boliye

Multilingual Voice & Chat AI for Contact Centers

Multilingual voice and chat AI for natural customer conversations across WhatsApp, web, and voice channels

50K+

Daily Calls Handled

60+

Languages

<500ms

Voice Latency

60%

OpEx Savings

Boliye — Voice & Chat AI
50K+

Daily Calls Handled

60+

Languages

<500ms

Voice Latency

60%

OpEx Savings

Key Capabilities

Language

60+ Languages

Native accent support for Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, Marathi, Gujarati, Punjabi, Odia, Assamese, and Urdu.

Sub-500ms Latency

Real-time voice processing with speech-to-text under 200ms and text-to-speech under 300ms. Edge deployment drops below 100ms.

Code-Switching Detection

Trained on real Indian speech patterns — seamlessly handles Hindi-English, Tamil-English, and other code-switched conversations.

Integration

Contact Center Integration

Pre-built connectors for Genesys, Five9, Avaya, Cisco UCCE, and Amazon Connect with SIP trunk and WebSocket APIs.

Omnichannel Deployment

Single AI brain across WhatsApp, web chat, voice IVR, and SMS — unified conversation context across all channels.

Analytics

Conversational Analytics

Real-time sentiment detection, intent classification, CSAT prediction, and agent performance scoring on every interaction.

Use Cases by Industry

See how Boliye delivers value across verticals.

Account Servicing

Balance inquiries, transaction disputes, and card management in regional languages

35% reduction in AHT

Collections

Automated multilingual outbound calls for payment reminders and negotiation

28% higher recovery rate

KYC Verification

Voice-based identity verification with liveness detection in 60+ languages

Manual Contact Center vs Boliye-Powered

DimensionTraditional Contact CenterBoliye-Powered
Languages Supported2-3 (English, Hindi)60+ languages
Average Handle Time8-12 minutes3-5 minutes
First Call Resolution55-65%85-90%
Operating Cost per Call₹35-50₹8-15
24/7 AvailabilityLimited (night shift premium)Always-on, no premium
Quality ConsistencyVaries by agent100% consistent
Scale-up Time4-8 weeks (hiring + training)Minutes (elastic scaling)
Sentiment AnalysisManual post-call samplingReal-time on every call

Integration Ecosystem

Seamless connectivity with the platforms you already use.

Genesys
Five9
Avaya
Cisco UCCE
Amazon Connect
WhatsApp Business
Twilio
Vonage
Salesforce
AWS
Google Cloud
Microsoft Azure

What Clients Say

The voice AI platform handles our multilingual customer base effortlessly. Our satisfaction scores are at an all-time high across 8 languages.
50K+ daily calls in 8 languages

VP Engineering

Major Telecom

Frequently Asked Questions

How many languages does Boliye support?

Boliye supports 60+ languages including Hindi, Tamil, Telugu, Kannada, Malayalam, Bengali, Marathi, Gujarati, Punjabi, Odia, Assamese, Urdu, English, and many more global languages. Our models are trained on native speaker data to capture regional accents, dialects, and cultural nuances.

What is Boliye's latency for real-time voice interactions?

Boliye delivers sub-500ms response times for voice interactions, with speech-to-text processing at under 200ms and text-to-speech generation at under 300ms. Our edge deployment options bring latency below 100ms for latency-critical applications.

Can Boliye integrate with existing contact center platforms?

Yes. Boliye integrates with major contact center platforms including Genesys, Five9, Avaya, Cisco UCCE, and Amazon Connect. We provide SIP trunk integration, WebSocket APIs, and pre-built connectors for seamless deployment alongside existing IVR and ACD systems.

How does Boliye handle code-switching between languages?

Boliye's models are specifically trained on code-switched speech patterns common in Indian conversations (e.g., Hindi-English, Tamil-English). The system detects language switches in real time and maintains context across languages within the same conversation.

Let'sBuildSomethingExtraordinary

Have a project in mind? We'd love to discuss how our expertise can bring your vision to life.