Why language switching mid sentence is the default in Indian sales calls, and what it takes for a model to keep up.
Listen to any hundred sales calls in Mumbai and you will hear three languages in one sentence. The customer is not confused. The model usually is.
A tenure question arrives as Hindi, the number arrives as English, and the hesitation in between carries the real signal.
Voice, chat, SMS, email and social on one intelligence layer, trained on your own calls and verified by your own managers. No fragmentation, no lock in.
Talk to us →Every other AI voice product ships a model trained on someone else's conversations and asks you to prompt it into sounding like you. Hyperdial starts from your own recordings: it isolates what your closers do differently, how they handle the price objection, when they slow down, what they say before they ask. A manager approves the pattern, and only then does it speak to a customer.
It sounds like the reps it learned from, in the languages they sell in, even when they switch language mid sentence. You hear every voice and every learned pattern before it goes live.
It hands off to a human with the full context attached: transcript, intent, sentiment and the reason it escalated. The customer never repeats themselves.
India data residency, consent capture, PII redaction, DNC scrubbing and a full audit trail on every call. On every plan, not as an upgrade.
Around 500 recorded calls is enough for a first playbook. It keeps refining as new calls come in, and each refinement goes back through manager approval.
Yes. Porting is free from any provider, with live status through the switch. Most teams see no service interruption at all.
In year one it looks cheaper. Then Indian language speech models, latency under 100 ms at concurrency, and QA for thousands of live calls each need a team you'd rather point at revenue work.
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