AI Consultant (A Voice agent)
Real-time voice agent for advisory conversations - runs fully on-device, end-to-end.
Why it mattersLets regulated industries (finance, healthcare, legal) deploy conversational AI without sending customer audio to a third-party API. Airtight on data residency.
What it does
A real-time voice agent that handles advisory conversations - gathers requirements, researches options, and responds in natural speech. Critically, the entire pipeline runs on-premise: nothing about a customer's call leaves the device.
Where it applies
- Finance, healthcare, legal, and insurance - regulated industries where sending audio to a cloud API is a compliance problem.
- Inbound customer support and triage for any business with sensitive data.
- Private deployments where per-minute cloud-voice costs would dominate the economics.
How it works (high level)
Speech-to-text streams into a reasoning agent with retrieval tools and memory, then out through a local text-to-speech stage. The hard part isn't any single model - it's the conversational glue: turn-taking, barge-in handling, partial-hypothesis routing, endpointing. That's where a voice agent stops sounding like a walkie-talkie.
Outcome
Sub-second perceived response latency on typical turns, with every bit of inference happening locally. The packaging pattern transfers to any domain-specific voice agent.
Stack
Python · LangChain · local LLMs · local ASR/TTS · VAD · retrieval.