AI · Voice · EnterpriseLive

VoiceSphere

Nepali real-time voice AI for enterprises.

Cloud · Telephony (Twilio / SIP)

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Highlights

Real-time Nepali speech-to-text & text-to-speech

AI voice agents for call centers, banks & insurance

Sub-second latency on cloud-native, auto-scaling infra

Enterprise security: ISO 27001 · SOC 2 · data residency

Mission

Give Nepali-speaking enterprises production-grade voice AI — understanding and responding in natural Nepali, in real time, at scale.

Problem

Generic voice AI handles Nepali poorly — wrong accents, high latency, no enterprise security. Call centers and banks had no real option for Nepali voice automation.

Solution

A real-time voice pipeline (STT → AI → TTS) built specifically for Nepali, integrating with existing telephony via Twilio/SIP, tuned for sub-second latency and compliance-grade security.

Architecture

Telephony ingress via Twilio / SIP
Streaming Nepali STT → contextual AI engine → natural Nepali TTS
Cloud-native, auto-scaling for thousands of concurrent calls
Encryption in transit, no audio storage by default, audit trails

Technologies

Speech AILLMsTwilio / SIPWebSocketsCloud

Challenges

Accurate Nepali recognition across dialects and accents.

Sub-second latency for natural conversation flow.

Meeting banking-grade security and data-residency rules.

Results

3× generic

Accuracy

Sub-second

Latency

−60% support

Cost

Screenshots

Future Vision

On-device understanding, multi-speaker awareness, and a full agentic layer for end-to-end call resolution.

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