Every other model on this page was built for text and adapted for voice. Ours was built the other way round: trained end to end on Indian phone conversations, in Hindi, Hinglish and regional languages, and tuned for the latency a real call allows.
Vomyra's in-house model is a language model developed and operated by Vomyra AI Solutions specifically for Indian voice conversation. It is trained on the shape of real phone calls — interruptions, code-mixing, background noise, incomplete sentences — rather than on written text, and it is tuned for the sub-second response budget a live call imposes.
General-purpose models are extraordinary at written language and merely adequate at the way Indians actually talk on the phone: half Hindi, half English, switching mid-sentence, with the sentence often left unfinished. A model trained on that specific distribution needs fewer tokens to get it right, which shows up as lower latency and lower cost on every single call.
What you get, stated plainly enough to check.
Four steps, none of which involve writing telephony code.
New agents start on the Vomyra model. For most Indian use cases it is the right answer without further configuration.
You do not have to sanitise your script into formal English. The model was trained on how people actually speak.
Switch to GPT-4.1, Claude or Nova 2 Sonic on the same agent and compare on your own calls. We are comfortable with the test.
Enterprise and government deployments can run the model inside their own perimeter under an enterprise plan.
Code-mixed, mid-sentence-switching Indian speech is the training distribution, not an unusual input the model has to cope with.
The model is ours, so it is included on every plan. There is no external API key, no per-token pass-through and no second invoice.
Indian-owned and India-deployable, with on-premise options — which is what government and regulated buyers actually require.
Yes. Vomyra AI Solutions builds and operates an in-house language model tuned specifically for Indian voice conversation — Hindi, Hinglish and regional languages — and for the sub-second latency budget a live phone call imposes. It is included on every Vomyra plan.
Two things. Technically, it is trained on Indian phone conversation rather than written English, so code-mixed Hinglish and interrupted speech are the normal case rather than an edge case. Commercially and legally, it is Indian-owned and India-deployable, including on-premise, which is what government and regulated buyers require.
Not universally, and we do not claim it is. On Indian code-mixed calls it is faster and cheaper for equivalent outcomes because it needs fewer tokens to handle the input. On long English policy-heavy scripts, a frontier model is usually the better pick. You can switch on the same agent and compare on your own calls.
No. It is included on every plan with no external API key and no per-token pass-through, because the model is Vomyra's own rather than resold from a third party.
Yes, on enterprise plans. On-premise deployment is the usual requirement for government and regulated deployments where call content cannot leave a controlled perimeter.