Today, users do not want generic sales pitches. They want to experience AI directly. Test our conversational models, chat via AWS-hosted vLLM nodes, or connect over WhatsApp.
wss://voiceai.imaappweb.com/stream
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SONA™ Demo Center allows enterprises to interact directly with conversational AI models. Using the Web Chat Playground connected to AWS vLLM nodes, WhatsApp scanning parameters for +91 85888 77744, and local SpeechRecognition web-voice capabilities, users experience real-time conversational automation and qualified lead qualification workflows.
Type directly to query our core LLM server, testing query routing speed and operational response precision.
AWS Host: voiceai.imaappweb.com
Scan the QR code or click the direct button to launch a conversation with our verified AI testing line. SONA™ will guide you through simulated clinical intakes, hospitality bookings, or transaction alerts.
Experience our real-time voice latency. Speak directly in the browser or schedule an automated call.
Allow microphone access to test our real-time voice latency. Try mentioning 'Healthcare', 'Hospitality', or 'Pricing'.
Speak to begin interaction...
Enter your mobile number, and our outbound dialing engine will trigger a live transaction demo call.
Note: Standard telecom carrier costs are covered by our developer portal sandbox. Verified details are not shared or stored.
Testing custom cognitive agents interactively allows enterprise stakeholders to directly evaluate API latency, voice turnaround times (under 1.2 seconds), intent classification accuracy, and database queries. This hands-on validation reduces operational friction and provides proof of scalability before scoping engagements.
Traditional web agency consultation pages are built around forms that promise a follow-up email. For enterprise organizations seeking multi-million-rupee business transformations, these manual delays represent unnecessary friction. Today’s C-suite executives and IT heads prioritize direct system validation over marketing claims.
IMA’s SONA™ Demo Center provides instant, transparent access to functional cognitive nodes. This allows technical teams to evaluate API response speed, classification accuracy, speech synthesizers (TTS/STT latency), and natural language processing capabilities on-demand.
Our demo environment runs on a distributed cloud framework. Text inputs are processed through AWS-hosted vLLM containers optimizing open-weights models. The voice AI stack integrates our proprietary IMA Voice Platform for connection middleware, direct carrier routes for SIP trunking, and deep neural acoustic engines for low-latency speech-to-text conversion.
Static product descriptions do not convey the dynamic nuances of natural language agents. By interacting with a live model, stakeholders experience the exact latency (averaging under 1.2 seconds for voice turnarounds), context-holding limits, and database querying capabilities that will automate their actual call centers or client portals.
When a user types or speaks, the message is converted into structured JSON and sent through our secure API gateways. The request is processed by the classification node to detect intent (e.g., billing, intake, reservations). The query is compiled, matches databases, and returns an answer synthesized via neural voices (ElevenLabs/Cartesia) or text responses.
Deploying these cognitive systems frees customer-facing staff from repetitive answering queues, dropping front-desk overhead by 70%+. The system scales continuously, handling thousands of concurrent calls and WhatsApp messages without requiring additional hires.
A traditional call center agent costs approximately ₹25,000 to ₹40,050 per month, serving one customer at a time. A voice AI session averages ₹1.5 to ₹4 per minute, charging only for active talk time. For 10,000 monthly calls, the savings exceed ₹3 Lakhs monthly.
Deployment is completed in a structured 5-phase framework covering system architecture audits, middleware synchronization, model fine-tuning, voice/text channel routing, and outcome verification over 12 to 16 weeks.
Automating customer check-ins in hospitality; processing voice diagnostics intake in healthcare clinics; validating client credentials in finance portals; orchestrating order checkouts in retail messaging networks.
| Operational Metric | Manual Team | SONA™ AI Stack | Net Benefit |
|---|---|---|---|
| Response Latency | 3 - 10 Minutes (Call waiting) | < 1.2 Seconds (Instant) | 99% Faster turnarounds |
| Concurrent Session Capacity | 1 Session per Agent | Unlimited Scalability | Zero queue bottlenecks |
| Out-of-Hours Coverage | Limited (Requires night shifts) | 24/7/365 Availability | Constant lead capture |
| Average Interaction Cost | ₹80 - ₹150 (Staff Hours) | ₹3 - ₹8 (Server compute) | 95% Cost Reduction |
The web chat demo runs on our custom-finetuned open-weights models hosted on AWS vLLM. The voice and WhatsApp components connect with pre-configured templates representing Ayu, Seva, Disha, and Nidhi agents.
It uses your browser's native Web Speech API. The microphone captures input, uses SpeechRecognition to transcribe it, processes the text locally or queries our servers, and outputs the reply using SpeechSynthesis (Text-to-Speech).
Yes. By booking a session or starting the onboarding wizard, our engineers can create a custom sandbox tenant pre-loaded with your database schema and brand protocols.
Yes. To prevent abuse and preserve server capacity, the web sandboxes are rate-limited to 20 queries per session. If you reach the limit, simply contact our engineering team.
We utilize dedicated telecom carriers for SIP trunking, ensuring high audio clarity and local country ID dialing.