Understand.
Recognizes multilingual speech, accents, and code-switched conversations with enterprise-grade speech recognition.
Enterprise Voice Agents That ActuallyKnow Your BusinessEnterprise Voice Agents That ActuallyKnow Your Business
Create intelligent voice agents that listen, understand, reason, and respond in real time. Built on purpose-trainedSmall Language Models and Knowledge Graphs, Shunya Labs deliver fast, multilingual conversations withenterprise-grade accuracy and near-zero hallucinations.
<1.5s
End-to-end voice to voice response
216+
Languages supported
Over 70%
conversion rate
50M+
Calls Handled
Voice Agent
Meet Meera
Talk to the Intelligence Layer.
LIVE NOW · 50,000+ CALLS HANDLED
CUSTOMER · ENGLISH“How many languages does Shunya support?”
CUSTOMER · JAPANESE“Shunyaは多言語の会話をどのように処理しますか？”
CUSTOMER · KOREAN“우리 회사를 위한 맞춤형 모델을 만들 수 있나요?”
CUSTOMER · HINDI“क्या स्वास्थ्य सेवा और बीमा क्षेत्र के लिए विशेष मॉडल उपलब्ध हैं?”
CUSTOMER · HINGLISH“Mujhe speech to text model ke baare mein batao.”
+91
She'll call you in under 30 seconds for 2 minutes · available 24/7
Your information is only used to initiate the demo call.
How Shunya Voice Agents Work
STT + Knowledge-GroundedLLM + TTS, Wired End to End.STT + Knowledge-GroundedLLM + TTS,Wired End to End.
Every call runs the same five-stage - speech in,reasoning against your knowledge graph,speech out - each stage independentlybenchmarked.
Speech-to-Text
216+ language ASR, streaming, sub-500ms first audio, 3.10% composite WER.
Speech RecognitionEvery layer, on your terms
Every Response Starts With Your Business.Every Response StartsWith Your Business.
Reason.
Grounds every response in your knowledge graph, SOPs, and business rules instead of relying on generic internet knowledge.
Act.
Completes tasks such as KYC verification, appointment booking, payment reminders, and customer support by connecting to your existing systems.
Respond.
Delivers natural, low-latency voice responses in 216+ languages while maintaining conversational context.
Use cases
Built for EnterpriseConversations.
Every industry has different customers, regulations, and workflows. Shunya Voice Agents adapt to your business, delivering natural conversations grounded in your SOPs, knowledge, and enterprise systems.
Benchmarks
Low Latency, MeasuredAccuracy, RealMultilingual.
Every part of the voice pipeline is engineered for production, from speech recognition and reasoning to translation and voice generation.
speech-to-speech
< 1.5s
ASR 300ms · translation 100ms · synthesis 400ms - feels like a real conversation, not a walkie-talkie.
ASR300
Translate100
Synthesis400
Headroom700
Deployment options
Start a Voice AgentCall in a Few Lines
Deploy a production-ready voice agent through a single API. Connect your knowledge graph, configure languages and voices, and start streaming real-time conversations with built-in speech recognition, enterprise reasoning, and natural voice generation.
// Start a Shunya Voice Agent session
const session = await shunya.voiceAgent.create({
agent_id: "bfsi-kyc-agent",
knowledge_graph: "client-sop-graph-v3",
languages: ["hi", "en", "hi-en"], // Hindi, English, Hinglish
deployment: "private-vpc",
voice: { style: "conversational", cloning_ref: null }
});
// Stream audio in, receive transcript + response events
session.on("transcript", (t) => console.log(t.text, t.confidence));
session.on("agent_response", (r) => console.log(r.text, r.sop_reference));
session.on("audio_out", (chunk) => player.write(chunk));
session.connect(audioStream);Built to Fit Your Stack
Seamless integrations with.
01 - Telephony
02 - CRM
03 - E-Commerce
04 - Messaging
Deploy anywhere
Deploy Where Your Business Runs.
One Voice Agent platform. Deploy wherever your securityand compliance requirements demand.
Cloud.
Managed multi-tenant deployment. Fastest to launch, scales elastically with call volume.
Private VPC.
Dedicated deployment inside your cloud account. Data never leaves your network perimeter.
On-prem.
Runs entirely inside your data center. For regulated workloads with strict residency requirements.
Edge.
Deploy at the branch or device layer for the lowest possible latency and offline resilience.