Multilingual Understanding
Support for 216+ languages and mixed-language conversations, including code-switching and regional usage.
The Intelligence Layer ForEnterprise Voice AIThe IntelligenceLayer ForEnterprise Voice AI
Speech is just the interface. Shunya combines speech AI, knowledge graphs, andpurpose-trained Small Language Models into a unified intelligence layer that delivers accurate,auditable, and production-ready Voice AI.
Platform Workspace
Build Enterprise Voice AI FromOne WorkspaceBuild Enterprise Voice AIFromOne Workspace
Everything you need to build, test, deploy, and monitor enterprise voice applications lives inside asingle platform. No stitching together speech APIs, vector databases, orchestration tools, and monitoring dashboards.
Meera - Collections Agent
Hindi · English · Tamil · code-switching enabled
System rule: Confirm outstanding balance before offering a repayment plan. Escalate to a human agent if the customer disputes the amount.
Knowledge Graph: BFSI PoliciesVoice: Warm, Regional AccentBusiness Rules: 14 active
Every layer - voice, knowledge, deployment, monitoring - runs on one platform, not five.
Platform Architecture
The Complete Intelligence StackFor Enterprise Voice AIThe CompleteIntelligence StackFor Enterprise Voice AI
The graph holds the truth. Model generates the conversation.
Observability & Evals
Prove it Works. Every Single Release.
Simulation before launch, evals on live production calls, and human review that sharpens the next release - one loop, one dashboard, across every model you run with us.
Your Enterprise Voice System is Breaking.
Not dramatically. It breaks in the calls nobody tested - a prompt tweak that quietly kills the cancellation flow, a caller who interrupts twice, a disclosure that stops being read. We have watched it happen across enough production deployments that we built the fix into the platform.
Regression
A prompt change broke your refund flow?
Re-run every core journey against the new build and see exactly which step moved before it reaches a customer.
Personas
An impatient caller talks over the agent?
Pressure-test with interruptive, code-switching, accented and off-script personas - thousands in parallel, not six by hand.
Compliance
A mandatory disclosure quietly stopped playing?
Score every call for identity checks, disclosures and escalation rules, and get alerted the hour it slips.
Replay
The same call fails again and again?
Turn a real production conversation into a permanent test case so a fixed bug stays fixed.
The Continuous Quality Loop
Evaluation across every Lifecycle Stage.
Persona Ananya · Hindi-English · frustratedNoise streetInterrupts 2×
0:00AgentThanks for calling. How can I help you today?
0:03PersonaMera order abhi tak nahi aaya — this is the third time I am calling.
0:07Agentorder_status ›
0:09PersonaJust cancel it, I don't want—Interruption · agent kept talking 1.2s
0:12AgentI can cancel that for you. Confirming order ending 4471.
Scenarios 4,200Personas 38Wall clock 12 min
End-to-end latencyp95 · inbound0.9s
Interruption ratecaller talk-over4.1%
Mandatory disclosure readpolicy checkMissed
Caller request fulfilledoutcomeYes
Sentiment at closecallerNeutral
Audio artefactsgibberish · clippingNone
Disclosure compliance fell below 95% on 214 calls in the last hour - alert sent to #voice-ops.
Identity verified
AI: NoHuman: YesThe caller confirmed date of birth before the account was opened; the judge missed it because the confirmation came mid-interruption. Eval prompt updated.
Correct escalation
AI: YesHuman: YesRequest exceeded the agent's resolution scope. Context was passed cleanly and the caller did not repeat the issue.
Resolution reached
AI: NoHuman: NoCall ended without a confirmed outcome — missing tool call on the refund path. Added to the regression set.
Full Visibility into Quality, Consistency and Compliance.
Testing, production evals, QA review and model comparisons in one view - so a model decision is made on evidence, not on the last call someone happened to listen to.
Reports › Compliance adherence across models
Latency
0.9sSeconds
Task completion
91%Success %
Identity verification
95%Success %
Compliance adherence
92%Success %
Grouped by modelLatencyTask completionIdentity verificationCompliance
Check delivery statusYesYesYesYes
Caller switches language mid-callYesYesYesNo
Background noise, low bandwidthYesNoYesYes
Repeat the last instructionYesYesYesYes
Ask for a refundYesYesYesYes
Cancel before dispatchYesYesYesNo
Return a damaged itemYesYesYesYes
Ask, then change your mindYesNoYesYes
Change the delivery addressNoYesYesYes
Escalate to a humanYesYesYesYes
Reset a forgotten PINYesYesYesYes
Dispute a chargeNoYesYesYes
Report a lost cardYesYesYesYes
Unlock a frozen accountYesYesNoYes
Open a model to see scenario-level resultsRun 214 · last 24h · 18,402 calls
12 minFrom CLI command to a first full simulation run
4,200+Scenarios pressure-tested before every release
100%Of production calls scored, not a 2% QA sample
Speech Intelligence
Speech Intelligence Builtfor Real ConversationsSpeech IntelligenceBuilt forReal Conversations
Shunya is designed for the way people actually speak, not justthe way data looks in a lab.
Streaming Transcription
Process speech in real time with low-latency transcription for live voice workflows.
Voice Output
Generate natural, clear responses with multilingual synthesis and custom pronunciation support.
Language Detection
Automatically identify spoken languages and switch seamlessly across multilingual conversations.
Built For You
Built Around Your Business.Not Ours.Built Around YourBusiness.Not Ours.
Every enterprise speaks a different language. Products. Processes. Regulations. Terminology. Workflows.Shunya builds purpose-trained intelligence that understands your business from day one, delivering faster,more accurate and more reliable AI than generic foundation models.
Your Knowledge
Train on SOPs, call recordings, product catalogs, CRM data, policies, internal documentation and domain expertise.
Purpose-Trained Intelligence
Custom Small Language Models built specifically for your workflows, terminology and decision-making processes.
Grounded Reasoning
Every response can be grounded in knowledge graphs, enterprise rules and structured workflows instead of internet knowledge.
Faster. Smaller. Smarter.
Purpose-built models deliver lower latency, lower infrastructure costs and more predictable enterprise performance.
Your Business → Enterprise Intelligence
Security & Deployment
A Reasoning Core.Not a Pipeline.A Reasoning Core.Not a Pipeline.
Most Voice AI companies sell you speech I/O. We give youreasoning in between.
Deploy Anywhere
Cloud, VPC, on-premises,sovereign cloud or fully air-gapped environments.
Built for Regulated Industries
Designed for healthcare, banking, government, telecom, and other industries where accuracy and compliance are non-negotiable.
Your Data Stays Yours
Customer data remains isolated within your environment and is never used to train models for other organizations.
Own the Intelligence
Maintain full control over your models, deployments, versioning, inference, and updates with no vendor lock-in.
Industry Applications
Powering The World's MostDemanding Voice AIPowering The World'sMost DemandingVoice AI
From customer conversations to mission-criticaloperations, Shunya powers enterprise AI whereaccuracy, multilingual intelligence andreliability matter most.
06 channels
Contact Centers
Automate customer conversations with multilingual voice agents, real-time guidance and post-call intelligence.
Banking & Financial Services
Power onboarding, collections, fraud detection, KYC, servicing and compliant customer interactions.
Healthcare
Support patient journeys with multilingual assistants grounded in clinical knowledge and healthcare workflows.
Telecom
Deliver intelligent customer support, agent assist and multilingual experiences at national scale.
Retail & E-commerce
Power conversational shopping, customer support, returns and multilingual engagement.
Enterprise AI
Build domain-specific copilots, voice interfaces and intelligent workflows across every department.
Performance / Benchmarks / Production / ResearchPerformance / BenchmarksProduction / Research
Performance That Holds Upin ProductionPerformance ThatHolds Up inProduction
216+
Languages
7
Industry Benchmarks
5M+
Enterprise Conversations
50M+
API Calls
Model Accuracy
Speech Recognition Accuracy
Model Versions - accuracy continues improving while maintaining production latency.
Speed
Latency
sub-500ms
Average end-to-end response time
FastModerateSlow
Scale
Enterprise Scale
Live deployments running across enterprise environments worldwide, right now.
Coverage
Language Coverage
Deep coverage in India, Japan, Korea, the Middle East, and Southeast Asia - not just translated, natively trained.
OpenASR Leaderboard
Word Error Rate - lower is better ↓
1
ShunyaOurs
3.1%
2
Google
4.8%
3
Whisper
5.6%
4
Azure
6.2%
5
Amazon
7.1%
Illustrative benchmark data shown for layout - swap in published results before launch.
Don't Take Our Word for It.
See how our models perform on industry-standard benchmarks and against leading commercial models.
Explore Benchmark Reports