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AI Engineering

AI Calling & Voice Agents

Conversations at the speed of a phone line

Voice is unforgiving: a second of silence reads as a dropped call. We build voice agents on streaming speech and interruption-aware turn-taking, so the conversation feels like a conversation. They book meetings, qualify leads, answer account questions and hand over to a human mid-call with context intact — with every call transcribed, recorded and scored.

call · inbound742ms avg turn

caller — I need to move my appointment to Friday.

agent — Friday has 10:30 or 14:00. Which suits you?

tool — cal.book(fri 10:30) ✓ confirmed

what you get
  • Inbound and outbound voice agents with barge-in and natural turn-taking
  • Telephony integration and number provisioning
  • Calendar booking and CRM write-back during the call
  • Campaign management: lists, retries, time windows, compliance rules
  • Live transcription, recordings and per-call analytics
  • Warm transfer to a human with full context
how we build it
  1. 01

    Design the call

    Objectives, objections and the exact moment a human should take over.

  2. 02

    Tune for latency

    Streaming speech-to-text, partial responses and a latency budget per turn.

  3. 03

    Measure outcomes

    Connection rate, completion rate, booking rate — not just transcript quality.

stack
TwilioLiveKitDeepgramElevenLabsCal.comGoHighLevel

Yes — we disclose it at the start of the call. Beyond being required in many jurisdictions, undisclosed AI callers damage trust the moment someone works it out.

Yes, with a warm transfer that passes the transcript and collected data to the agent who picks up, so the caller does not repeat themselves.