Sub-second latency. 22 Indian languages, mid-sentence code-switching, real Indian network conditions. Built for the call your customer actually makes.
Indian customers default to phone for anything that matters — payments, returns, claims, escalations. Trust travels through voice. Three numbers.
Most voice AI is duct tape — STT, LLM, TTS stitched together. LiveCallr is one model, trained on the audio. Here's what that buys you.
Trained end-to-end on the audio itself. No transcription losing tone, no three-pipeline latency stack. The agent reasons over the live audio.
Code-switching mid-sentence. Accents from Coimbatore to Cuttack. Names like Subramaniam and Brijesh. Lakhs and crores. Trained on millions of Indian calls.
Above that, callers wonder if the line dropped. LiveCallr stays well under, with full barge-in and tone-awareness.
Mature deployments report AHT ↓ 30–50%, CSAT ↑ 5–10 pts, 40–70% containment, cost ↓ 65–90%.
Or pick up your phone and call the airline support agent live.
Day-90 lift on AHT and containment. Cost-per-resolution moves in the first quarter. Sourced to analyst studies and production rollouts.
SOC2-aligned. PII redaction at the audio layer. One model, end-to-end — not OpenAI for the brain, ElevenLabs for the voice, Whisper for the ear.
Same speech-native engine across every line that bleeds when phone breaks. Most teams start with one workflow and expand within 60 days.
The high-volume routine after every order. Agent reads OMS, runs resolution, ships replacement, preserves loyalty.
Balance queries, dispute flows, KYC verification, premium reminders. Multilingual is mandatory, RBI/IRDAI pressure is real.
Highest call volumes in India sit here. Outbound proactive renewal is where voice AI earns its budget back fastest.
Airlines, OTAs, ride-hailing, courier. Outbound proactive on disruption days; inbound the rest. Multilingual non-negotiable.
Call the demo or book a 20-minute walkthrough.
Two-week deployment. SOC2-aligned. No rip-and-replace.