Voice agents that act, in any language.
These are not chatbots with a voice. An enterprise voice agent holds a real-time spoken conversation, reasons over your data and takes actions in your systems, with latency low enough to feel human. Sandeep Kavety designs and builds custom voice agents in any language, with consented voice cloning and AI avatars where the use case calls for them.
- ~200 ms
- to first audio byte, measured
- 2 layers
- fast voice talker + tool-using reasoner
- Any
- language, including code-switching
What I build
01
Low latency by design
A streaming pipeline with voice-activity and turn detection tuned per language. In smoke tests, synthesis reached first audio in about 200 ms and live transcription showed first words in roughly half a second.
02
Talker and reasoner
A fast voice layer keeps the conversation natural while a reasoner with tools, memory and a critic pass does the real work behind it.
03
Acts, not just answers
Calls into your records, schedulers and APIs. Risky actions are proposed, confirmed and logged rather than silently executed.
04
Phone and WhatsApp
WhatsApp Calling and SIP telephony land in the same agent, so people reach it on the number they already use.
05
Any language
Multilingual speech and understanding including accents and mid-sentence code-switching, benchmarked per language before release.
06
Safe on live calls
Emergency phrases force a human hand-off, a kill switch and circuit breaker cap what an agent can do, and callers are told when a call is recorded.
07
Voice cloning
Voice replication from reference clips with explicit consent, access controls and synthetic-voice disclosure on every platform that requires it.
08
AI avatars
A face for the voice: labelled virtual creators with a locked identity, consistent across voice, stills and video.
Evidence
Veeru for Blood Warriors
A voice and WhatsApp agent for donors, patients and volunteers in Telugu, Hindi and English, backed by a reasoner with tools, memory and a critic pass.
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Virtual creator pipeline
A labelled AI creator built end to end: locked face, designed voice, generated video, with human approval at each step.
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Governed actions
The capability broker and approval model from Insighter keeps agents safe when they act.
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Voice agents: common questions
How is an enterprise voice agent different from a chatbot?
A chatbot answers questions. An enterprise voice agent runs a real-time spoken conversation, reasons over your data, and takes actions such as booking, updating records or escalating, with low latency and full auditability.
How low is the latency?
Latency is designed and measured, not assumed. In smoke tests on streaming speech, synthesis delivered its first audio in about 200 ms and live transcription returned first words in roughly 0.5 to 0.7 seconds. Production numbers are reported per language as p50 and p95.
Which languages can voice agents support?
Any language with usable speech recognition and synthesis, including accents and code-switching. Veeru runs in Telugu, Hindi and English, and each language is benchmarked for word error rate and latency before release.
Can you clone a voice or add an AI avatar?
Yes, with consent. Voice replication is built from reference clips the speaker has approved, with disclosure where platforms require it, and avatars are always labelled as virtual.
What happens when something goes wrong on a call?
Emergency phrases trigger a human hand-off, writes require confirmation, and a kill switch and circuit breaker limit what the agent can do. Every call is logged for review.
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