Real-Time AI Translation forEnterprise Conversations

Translate speech and text instantly across 100+ languages while preserving meaning,voice, and conversational context. Built for customer support, healthcare, retail,and global enterprises where every conversation matters.

100+ Languages

Speech & Text Translation

<1.5 Seconds

Speech-to-Speech Latency

1,800 Stores

Production Deployment

Voice Preserved

Identity & Emotion Retained

Real-Time Translation

Vāk

Real-Time Translation in 55 Indic Languages

Platform

One Platform. EveryTranslation Workflow.

EN
The world is listening.
JA
世界は耳を傾けている。
01

Text-to-Text

Translate documents, chats, websites, and enterprise content across global and regional languages.

02

Speech-to-Text

Convert multilingual conversations into translated text in real time for captions, meetings, and live support.

SPEAKERSAME VOICE
03

Speech-to-Speech

Translate conversations instantly while preserving the speaker's natural voice and emotional tone.

The Difference

Built forReal Conversations.

Preserve Voice Identity

The translated voice still sounds like the original speaker.

Preserve Emotion

Urgency, empathy, excitement, and tone remain consistent across languages.

ENहिन्दीENதமிழ்EN

Native Code-Switching

Handle multilingual conversations where speakers naturally switch between languages mid-sentence.

ARRKYCSKURTGSHIPAA

Enterprise Vocabulary

Translate product names, technical terminology, and regulated industry language accurately.

Enterprise Scale

Proven atEnterprise Scale.

Japan Mobile Operator
  • 1,800 Retail Stores
  • 85,000 Monthly Customer Visits
  • Runs entirely inside customer infrastructure.
<1.5 Seconds
Speech-to-Speech
100 Concurrent Streams
Per Instance
Zero External Dependencies
Private Deployment
>0.85 Voice Similarity
Speaker Identity Retained

Benchmarks

Performance You Can Measure.

Coverage

2,970language pairs

Across 55 Indian languages

HindiTamilBengaliMarathiTeluguKannadaUrduGujaratiPunjabiMalayalamOdiaAssamese+ 43 more

Evaluation

246directions
Sentences tested263,000+

Metrics

BLEU& chrF++

Independent evaluation

Use cases

Built for GlobalEnterprises

One Pipeline

How ItWorks

Step 01
Customer Speaks
Step 02
Speech Recognition
Step 03
Translation Engine
Step 04
Knowledge & Context
Step 05
Voice Generation
Step 06
Customer Hears Translation

Unlike traditional translation systems, Shunya preserves context, speaker identity, and conversational flow across every stage.

Deploy anywhere

Built for Your Infrastructure

  1. Cloud.

    Managed multi-tenant deployment. Fastest to launch, scales elastically with call volume.

  2. Private VPC.

    Dedicated deployment inside your cloud account. Data never leaves your network perimeter.

  3. On-prem.

    Runs entirely inside your data center. For regulated workloads with strict residency requirements.

  4. Edge.

    Deploy at the branch or device layer for the lowest possible latency and offline resilience.

Related Pillars

Custom SLMsVoice AgentSTTTTSEdge SLU