Drops into anything
Your app, your website, your phone lines. One agent behind all of them.
Real-time speech-to-text, LLM reasoning with tool calling, and lifelike text-to-speech, wired into one agent that listens, decides, and acts. Natural Hindi and English, running wherever you need it: in your app, on your site, or over the phone.
One voice layer, any product.
Wherever your users speak, the agent listens, understands, and gets work done: many conversations in parallel, on any channel you run.
Your app, your website, your phone lines. One agent behind all of them.
Fluent in both, and it follows a mid-sentence switch without losing the thread.
Calls your tools mid-conversation: reads and writes to your systems, live.
Same pipeline underneath, retuned per vertical: the script it follows, the tools it calls, and the rules it has to keep.
What the agent does on every call, today.
Microsoft Azure, in the region agreed for each deployment: India by default for Indian lenders. Speech and language models run in India.
Design, deploy and improve every agent in one place.
Choose the path that best fits your business needs and technical requirements.
For teams that want one workflow live before committing further.
For products embedding voice agents inside their own stack.
For enterprises with unique workflows and compliance needs.
The products and agents below all run on this voice stack.
Get Started
Three ready-to-launch options, each deployable in weeks. Pick the one that fits your stack, or bring your own scope.
Inbound and outbound calling with natural language understanding and full compliance logging from day one.
Multi-step business processes with approval routing, compliance tracking, and audit-ready output.
Knowledge retrieval and Q&A across internal docs. Grounded, cited, governed.