Interpret an enquiry in a supported Indian language.
Models
Sarvam Models for voice workflows
Select Sarvam language models for multilingual voice workflows.
Layer
Models
Focus 01
Language models
Focus 02
Indian languages
Focus 03
Agent responses
The role
What Sarvam Models brings to a call
Sarvam models offer another path for multilingual reasoning. Regional language performance should be evaluated with real callers and business terms.
In the voice stack
Models
The model layer interprets context, chooses a response, and decides when to use an approved tool. Prompt instructions and business rules are as important as the model name.
Use cases
Where teams use Sarvam Models
Keep the agent's response in the chosen language.
Extract structured fields from a local-language call.
Implementation
From setup to a real call
Define the outcome
Choose the call scenario and decide which of Sarvam Models's capabilities the agent needs.
Configure the path
Select an available Sarvam model for the pipeline and test it with approved prompts.
Test before launch
Validate regional language quality and the accuracy of business-specific terms.
Frequently asked questions
Sarvam Models questions
What does Sarvam Models add to a Vozon workflow?+
Sarvam models offer another path for multilingual reasoning. Regional language performance should be evaluated with real callers and business terms.
How do I set up Sarvam Models?+
Select an available Sarvam model for the pipeline and test it with approved prompts.
What should I verify before launch?+
Validate regional language quality and the accuracy of business-specific terms.
More in Models
Build your workflow
Put Sarvam Models to work in the right call flow.
Tell us what your agent needs to hear, say, read, or update. We'll help map the connection and test it with your call scenarios.
Plan this integration