Voice infrastructure for phone-answering agents.
Vapi and Twilio power the voice agents we build, production-grade telephony, not a demo stack, built to handle real call volume and hand off cleanly to a human when needed.
The stack behind a call that sounds normal
A voice agent feels human or robotic based on one thing: latency. Every hop between speech recognition, model, and speech synthesis adds delay, and past roughly a second the caller starts talking over it.
We build on production telephony infrastructure and tune the pipeline end to end, streaming recognition, fast models, interruption handling, so the conversation keeps its rhythm.
- Streaming speech recognition, not batch
- Barge-in handling so callers can interrupt
- Real phone numbers, porting, and SIP trunking
- Recording, transcripts, and consent handling
- 01
Number layer
Twilio or SIP trunking with porting, IVR fallback, and per-region numbers where needed.
- 02
Speech pipeline
Deepgram for recognition and ElevenLabs for voice, streamed both ways to hold latency down.
- 03
Agent runtime
Vapi orchestrates turn-taking, tool calls, and transfers with a model chosen for speed over verbosity.
- 04
Observability
Every call recorded and transcribed, with dashboards for drop-off, handoff rate, and failure points.
Can we keep our existing number?
Yes, either port it or forward to a new one, whichever is less disruptive.
Are calls recorded?
Optionally, with the disclosure your jurisdiction requires. Retention is configurable.
What about outbound calling?
Supported for follow-ups and confirmations, within the consent rules that apply to you.
Still reading? Good. Book a 20-minute call.
No sales pitch, we'll ask what's slow or missing right now, and tell you honestly if this is the fix.