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Launch AI calling directly inside your platform
We know because we built it. Here is what you are looking at if you attempt to build this capability internally.
Standard ASR models — Google Speech, Whisper, Azure — fail meaningfully on Hinglish, regional Indian accents, and real estate domain vocabulary. "Possession", "carpet area", "OC received", "lock-in period" require domain-trained models. Training your own accurate model requires tens of thousands of hours of labeled Indian real estate call audio. We spent two years building this.
Real-time voice conversation requires the complete pipeline — speaker detection, transcription, LLM inference, and TTS synthesis — to complete in under 200 milliseconds per exchange. At 300ms the conversation feels robotic. At 500ms, users hang up. Achieving reliable sub-200ms latency on Indian network conditions requires significant infrastructure investment and continuous tuning. Our median latency is 180ms.
A new project launch in Gurgaon or Mumbai can generate 400–600 simultaneous lead form submissions within the first 2 hours. Your infrastructure needs to initiate 400 concurrent calls, each with its own speech pipeline, without quality degradation. This is a non-trivial distributed systems problem. Zappio's infrastructure is built for this. Yours does not need to be.
Your product roadmap has 40 things on it. Building production-grade AI voice infrastructure from scratch is a 12-month distraction from all of them. Zappio solves this in a day.
Your CRM manages lead data, pipeline stages, and agent assignments. What it cannot do is call every lead within 30 seconds of form submission and run a 15-point qualification conversation in Hindi and English. Zappio adds that through 4 API endpoints and a webhook listener.
When a new lead enters your CRM, your system triggers a Zappio call. When the call completes, Zappio fires the transcript and score back to your webhook. Your CRM displays the qualification summary directly in the lead record. You ship a capability that would have taken your team 12 months internally — in a week.
Property portals compete on lead volume. The next differentiator is lead speed. When a buyer submits a property inquiry on your portal, Zappio calls them within 28 seconds — before any agent on any other platform has seen the notification.
Offer this as a premium listing tier. Builders who enable AI instant response on your portal pay a higher subscription. They get higher lead contact rates. You get higher retention and competitive differentiation.
Large builders running 8–15 active projects simultaneously often have internal tech teams building custom platforms. These teams need AI calling infrastructure that handles high concurrency, supports custom qualification logic per project, and integrates without compromising data security.
Zappio's API gives your internal team the calling infrastructure without the ASR training, TTS tuning, latency engineering, and Indian accent model work. You focus on business logic. We handle the voice layer.
Access the sandbox through the button on this page. You receive your sandbox API key immediately. No credit card. No approval process. No sales call required before you can test. The sandbox environment is full production parity — same AI models, same latency targets, same webhook behavior. The only difference is that calls are flagged as sandbox and do not count toward your live plan quota. You get 50 free test calls to explore the complete integration.
Copy the code example from the quickstart in your preferred language — Node.js, Python, or PHP. Drop in your sandbox API key. Set the lead_phone to your own mobile number. Hit send. Your phone will ring within 28 seconds and an AI will qualify you as a real estate lead. You will hear exactly what your users' leads will hear.
Point a webhook endpoint — you can use a free tool like Webhook.site or ngrok for testing — to your Zappio webhook URL configuration. Make the same test call again. Watch the events arrive: call.initiated, call.answered, qualification events, call.completed. Review the transcript and score object in the final event payload. That is the complete data your system will receive for every production call.
After setup: Full API reference documentation, complete Postman collection, code samples in Node.js, Python, and PHP, and integration guides for LeadSquared, HubSpot, and Salesforce are available from the moment you create your account.
Yes. Every Zappio developer account includes 50 free test calls in the sandbox environment. The sandbox runs on identical infrastructure to production — same AI models, same speech pipeline, same latency targets, same webhook event structure. You can build and test your complete integration before writing a single line of production code or committing to a paid plan.
Under 3 seconds from API call to the lead's phone beginning to ring in production. This includes queue processing, number provisioning, and call initiation. Speech response latency — the time between the lead finishing a sentence and the AI beginning its response — is under 200ms median, which is within the threshold for natural conversational feel.
In production with high accuracy: Hindi, English, and Hinglish. In beta with good accuracy and active improvement: Marathi, Tamil, Telugu, Bengali, Gujarati, Punjabi, Kannada, and Malayalam. If your platform serves a specific regional market, contact us to discuss accuracy benchmarks for that language before going to production.
You can define fully custom qualification scripts in JSON with conditional branching, language-specific response variants, and multi-level routing logic. Scripts can have up to 20 questions with nested conditional trees. You can create and manage multiple scripts — one per property segment or use case — and reference the appropriate script ID in each API call. You can update scripts through the API without any downtime.
All call audio, transcripts, and lead data are stored exclusively in AWS ap-south-1 (Mumbai region). Indian data residency is not an optional add-on or a higher-tier feature — it is the default configuration for all Zappio accounts. This is verifiable through our infrastructure documentation and available for review by your legal or compliance team at any time.
The AI is designed to handle ambiguity gracefully. For unclear responses, it asks for clarification in natural language — the way a human caller would. If it encounters a conversation state it cannot handle — a complaint, a language it was not configured for, or an escalation request — it transfers the call to your configured fallback number, logs the point of failure in the transcript, and fires a call.escalation_requested webhook event. We review all escalation events weekly to improve the AI's handling of edge cases.
Access the sandbox. Trigger a test call to your own number. Read the transcript that comes back. That is the complete integration experience — and it takes 15 minutes from creating your account.