Voice agents built for B2C scale. Multilingual. Barge-in-aware. Telephony-integrated.
Operonn builds end-to-end voice AI agents for businesses where every inbound call has revenue attached. Scheduling, triage, qualification, support — in the caller's language, across the caller's channel. Telephony integration, graceful human handoff, and outcome analytics out of the box.
Voice UX is latency, interruption, and recovery.
A voice agent is not a chatbot with a speech front-end. Callers interrupt mid-sentence. They speak in code-mixed Hinglish or Tanglish. They switch languages inside a single utterance. They cough, go quiet, or talk over a noisy background. Latency above 800ms feels broken. A system that cannot handle barge-in feels unresponsive. Voice agents that work in production are engineered around these real-world constraints from the ground up.
- Sub-second response latency across the full STT → reasoning → TTS loop.
- Barge-in handling: the caller can interrupt mid-sentence without breaking state.
- Code-mix handling: English, Hindi, Bengali, Tamil, Marathi in a single conversation.
- Graceful degradation to a human when confidence drops or emotion rises.
End-to-end — not a single piece of the stack.
We own the full voice pipeline. Telephony integration (SIP, Twilio, Exotel, Plivo, Amazon Connect). Streaming speech-to-text with partial transcripts. A reasoning layer that can tool-call into your CRM, scheduling, billing, or EHR system. Streaming TTS with natural prosody. Barge-in detection and interruption handling. Call transcripts, outcome tagging, and post-call analytics. Human handoff with full context transfer — agent hands the conversation to a human without making them ask the caller to repeat.
- Telephony: SIP, Twilio, Exotel, Plivo, Amazon Connect.
- STT: streaming, multilingual, noise-robust.
- Reasoning: tool-calling against your CRM, scheduling, billing, EHR, or custom APIs.
- TTS: streaming voices with tuned prosody and code-mix handling.
- Handoff: warm transfer with full conversation context passed to the human agent.
- Analytics: outcome tagging, compliance review, sampled trace evaluation.
The calls that used to sit in an IVR queue.
Voice agents replace the bottom half of the IVR tree — the repetitive, structured calls that do not need a human and should never have required one. Appointment scheduling and rescheduling. Delivery triage. Loan and claim status checks. Outbound reminders with two-way confirmation. Qualification for inbound leads. KYC-style verification with document upload. Anything high-volume, low-ambiguity, and currently handled by a human reading from a script.
Voice agents that pass a compliance review.
Every voice agent ships with call recording (caller-consent-gated), transcription, outcome tagging, and sampled QA review. Domain-specific guardrails — medical triage always defers to a clinician, financial advice agents refuse to give personalised recommendations, collections agents follow strict regulatory scripting. Compliance constraints are part of the scope from day one, not a pre-launch fire drill.
- Consent capture and call-recording governance.
- Domain-specific refusal policies for medical, financial, legal, or regulated verticals.
- Sampled QA review with outcome scoring.
- Data-residency options — models and transcripts can stay in-country.
Chosen for the problem. Not for the vendor.
TELEPHONY
- Twilio
- Exotel
- Plivo
- Amazon Connect
- Custom SIP
SPEECH
- Deepgram
- AssemblyAI
- Whisper (self-hosted)
- ElevenLabs
- Cartesia
REASONING
- Claude
- GPT
- Open-source LLMs with tool use
ORCHESTRATION
- LiveKit Agents
- Pipecat
- Custom voice pipelines
- WebRTC
Common questions.
What makes a voice AI agent different from an IVR?
An IVR routes calls by key press. A voice agent holds a natural conversation, understands intent, takes action against your backend, and knows when to hand off to a human. Modern voice agents replace not just the IVR tree but the humans at the bottom of it.
Do your voice agents support Indian languages?
Yes. English, Hindi, Bengali, Tamil, Marathi, Telugu, Kannada, Gujarati, and common code-mix patterns like Hinglish. Language selection happens live — the agent detects and adapts mid-conversation.
What telephony providers do you integrate with?
Twilio, Exotel, Plivo, Amazon Connect, and direct SIP. For India-specific deployments we usually recommend Exotel or Plivo on latency and cost. For global, Twilio or Connect.
How do you handle regulated verticals like healthcare or finance?
Domain-specific guardrails are part of the scope — medical triage refuses diagnosis and defers to a clinician, financial agents refuse personalised advice, collections agents follow regulatory scripting. Call recording and transcript retention are governed by explicit policy.
How long does a voice agent engagement take?
Most first voice agent builds ship to production in 6–10 weeks. First live call on internal traffic by week 3. Full production with analytics and handoff by week 8.
Have a voice workflow we can take off a human?
Send volume, languages, and current containment rate. We'll scope a pilot.
hello@operonn.com →