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Voice AI Agents

Voice AI Agents Development

Production voice AI agents for real phone calls — sub-second response, natural interruption handling, live system lookups, and warm transfer with context.

Sub-second
Response target
Barge-in
Natural interruption
Warm
Transfer with context
6–12 wks
To live calls
  • NDA on Day 1
  • Fixed-Price Guarantee
  • 48hr Proposal
  • Secure Data Residency

Get your custom project plan

Share your project details — a senior engineer responds within 4 hours.

Include in your message

  • What you are building or improving
  • Timeline and any hard deadlines
  • Success looks like…
NDA protected 24hr response Free consultation

Independently audited, certified and built to standards you can check

  • SOC 2 Type II certified
  • ISO/IEC 27001:2022 certified
  • AWS Cloud Operations Services Competency
  • AWS Security Competency

Voice AI agents are phone-based conversational systems that handle inbound and outbound calls against your live systems. Built for contact centers, clinics, and field operations, they answer naturally, verify callers, resolve routine requests, and warm-transfer complex cases with full context — engineered for telephony latency, not chatbot demos.

What We Build

Voice agents for calls that have to work

Inbound Call Handling

Agents that answer, identify the caller, understand the reason for the call in natural speech, and resolve it against live systems — replacing phone trees that customers press zero through anyway.

Scheduling & Reminders

Booking, rescheduling and cancellation handled by voice against your real calendar availability, with confirmations and reminders that reduce no-shows. Common in clinics, home services and field operations.

Caller Verification

Identity verification flows appropriate to your risk level, with sensitive digits captured securely and kept out of transcripts and model context — so recordings do not become a compliance liability.

Multilingual Voice

Agents that detect and switch language mid-call and hold a natural accent per market, so you can cover languages your call centre could never justify staffing around the clock.

Warm Human Transfer

When the agent hands off, your rep receives the caller with a summary of what was said, what was verified and what was attempted. No repeating the account number for the third time.

Call Analytics & QA

Every call transcribed, scored against your quality rubric, and mined for the intents your agent handles badly — which becomes the roadmap for what to improve next.

How We Build

Engineering for the latency budget

  1. 01

    Latency Budgeting

    We budget every millisecond across speech recognition, model inference, tool calls and speech synthesis before writing the conversation logic. Voice quality is a latency problem first and a prompt problem second.

  2. 02

    Conversation Design

    Real call transcripts drive the design — how people actually interrupt, correct themselves, trail off and change topic mid-sentence. Designing from a happy-path script produces an agent that collapses on the first real call.

  3. 03

    Telephony Integration

    Wired into your existing stack — Twilio, LiveKit, SIP trunking, or your contact centre platform — with number routing, call recording policy, and failover to a human queue if the agent stack degrades.

  4. 04

    Adversarial Call Testing

    We test against background noise, heavy accents, poor lines, hostile callers and deliberate manipulation attempts before go-live, because all of those arrive in the first week of real traffic.

  5. 05

    Staged Rollout

    Live on a small share of calls first, with resolution rate, transfer rate, call abandonment and caller sentiment monitored against your human baseline. Traffic share increases only when the numbers hold.

Voice AI Agents FAQ

Common questions about voice AI agent development — naturalness, disclosure law, poor audio conditions, sensitive data, telephony and cost.

Ask our team
  • Current speech synthesis is close enough that most callers do not immediately identify it as synthetic. What actually breaks the illusion is timing, not voice quality — a pause that runs a beat too long, or an agent that talks over an interruption. That is why we engineer the latency budget and barge-in handling first; a natural-sounding voice with sloppy turn-taking still reads as a machine.

Which calls are eating your team?

Scheduling, status checks, after-hours overflow. Tell us the call type and we will scope a voice agent, or tell you if it is not ready for that one yet.