On a phone line, latency is the product. A pause long enough to notice is a caller who has decided they are talking to a machine. We hold responses under a second while the agent reasons, calls tools, and grounds itself in live records, across English, Hindi, and Hinglish on one line. Already answering real calls in insurance, real estate, and sales, with every call recorded and replayable.
01 / VOICE AI
For phone lines where hold time is the cost. Sub-second voice agents grounded in live records, with every call recorded, structured and replayable.
Usually shipped with
Not a bundle to buy. Whichever you start from, the engagement covers what the build actually needs.
02 / Scope
03 / Outcomes
04 / Deliverables
05 / Stack
06 / Why us
AVOX answers in about 900ms and AVOX Realty under 1.3s, and holds that latency at peak call volume. Staying fast while the agent reasons and calls tools is the hard part of voice, and the part we own.
Our voice runtime handles policy, claim, and payment calls in insurance, buyer calls in real estate, and roleplay in sales coaching. One platform, retargeted across verticals.
English, Hindi, and Hinglish on one line with natural barge-in, and every call recorded as a structured, replayable record for audit.
Week 1
We map the calls that matter, the questions, the interruptions, the escalation points, and design turn-taking that feels like a real conversation, not a phone tree.
Week 1–3
Streaming transcription, low-latency TTS, and barge-in, tuned so the agent answers the moment the line connects and stays fast while it reasons.
Week 2–4
The agent connects to your CRM and systems through tools, verifies the caller on the line, and grounds answers in current records and inventory.
Week 4–6
Every call is logged, structured, and replayable, with analytics and quality scoring, and the system holds its response time as volume climbs.
Insurance · Voice
An insurance voice agent that handles routine policy, renewal, claim and payment calls end to end. Fast enough that callers stay in the conversation, and built so every action runs through a validated tool and every call leaves a structured record.
Real estate · Voice
A conversational agent for real-estate discovery. It turns free-form buyer conversation into structured, constraint-aware property search against current listings in English, Hindi and Hinglish, with no human qualification step, on the same runtime built for insurance.
Sales coaching
A voice-first sales coaching simulator. A real-time agent runs roleplay calls that raise objections and counter-questions rather than answering politely, and every session is scored against the same rubric, so feedback is consistent across reps instead of depending on who listened.
Audio is gated by voice activity detection, transcribed by a streaming model, and handed to a turn manager whose real job is deciding whether to listen, think, speak or yield the floor. Speech streams back while the model is still generating, and a barge-in cuts the turn mid-sentence. Every stage is measured against a per-turn latency budget, because a correct answer that arrives late is a failed call.
Production-proven
Built by engineers who've already shipped this in production.
No. We build natural turn-taking and barge-in so callers can interrupt mid-sentence like a real conversation, with low-latency speech so there are no awkward gaps. It is already live on real customer phone lines.
About 900ms on our insurance line and under 1.3s on real estate, held steady at peak call volume. Latency is the hardest part of voice, and it is what we tune hardest for.
Yes, including English, Hindi, and Hinglish on a single line. The same runtime is already live across insurance, real estate, and sales coaching.
It escalates on a path you design, warm-transferring with the context it has already gathered. Designing that boundary well matters more to the caller's experience than anything the agent says.
Streaming everywhere, speculative work while the caller is still speaking, and a strict budget per stage. AVOX holds about 900ms and AVOX Realty under 1.3s with tool calls in the loop, at peak volume.
It scales with call minutes and model usage rather than seats, so it is predictable per call. We size it against your actual volume during scoping instead of quoting a list price that will not survive contact with your traffic.
Multi-step agents for workflows where a wrong action is expensive to undo.
View serviceEvals, routing, and audit trails for teams whose demo cannot survive real traffic.
View serviceThe product surface around your model, for teams who have the AI but not the app.
View serviceTell us where you are and what you're trying to ship. We'll come back with a concrete plan, the right engineers, and a path to production, not a generic pitch.