Voice AI Development,
Built for Real Callers
We build production AI voice agents that answer every call, book into your live calendar, and hand off to a human with context attached. Benchmarked across ElevenLabs, Retell, Vapi, and self-hosted stacks, with the per-minute economics shown before you commit.
Every missed call is a customer who called someone else.
If your phone rings more than your team can answer, you are already losing revenue you never see. The caller who reaches voicemail at 6pm does not leave a message and try again tomorrow. They call the next business on the list.
A voice AI agent answers every call immediately, at any hour, in a normal conversation rather than a phone menu. It can check your live availability, book the appointment, take the details, and pass anything it should not handle to a person with the context already gathered.
The honest part most vendors leave out: voice is the hardest channel to automate well. It happens in real time, there is no undo, and an agent that talks over people is worse than no agent at all. That is why we scope one call type first and measure it before touching the rest.
What you actually get
- ✓ Every call answered on the first ring, including out of hours
- ✓ Appointments written straight into the system you already use
- ✓ Calls that need a person reach one with the details already collected
- ✓ A recording and transcript of every conversation, owned by you
- ✓ A measured before-and-after on answer rate and booking conversion
Everything below this point is the technical detail: the frameworks, models, and architecture we use. If that is not your area, skip it and send us a note instead.
Seven voice engineering capabilities.
Each grounded in production deployments, not demo calls. We pick the platform on evidence from your own recordings, and we tell you when the answer is not a voice agent at all.
Inbound Call Answering & Booking
The highest-ROI voice deployment for most businesses: an agent that answers every call on the first ring, checks live availability in your booking system, and writes the appointment back. No hold music, no missed after-hours revenue, no receptionist copying details between two screens.
- ✓ Live calendar and PMS write-back
- ✓ Warm transfer to a human on request
- ✓ Out-of-hours and overflow coverage
Call Triage & Intelligent Routing
Not every call should reach a person, and not every call should reach the same person. We build triage agents that identify intent in the first fifteen seconds, gather the details the human would have asked for anyway, and route with that context attached so nobody repeats themselves.
- ✓ Intent classification with confidence thresholds
- ✓ Context passed to the human on transfer
- ✓ Priority and escalation rules you define
Outbound Qualification & Follow-Up
Outbound voice is where compliance matters most and where most vendors are vaguest. We build outbound agents with consent capture, do-not-call enforcement, calling-window rules, and full call recording and retention policies configured to the jurisdiction you operate in.
- ✓ Consent capture and DNC enforcement
- ✓ Jurisdiction-aware calling windows
- ✓ Full transcript and recording retention
Platform Selection & Build (ElevenLabs, Retell, Vapi)
We are not tied to one vendor. ElevenLabs leads on voice quality and multilingual range, Retell and Vapi on orchestration and telephony ergonomics, Bland on bundled simplicity at a higher per-minute rate. We benchmark against your actual call recordings and recommend on evidence rather than partnership.
- ✓ Benchmarked against your real call audio
- ✓ Bring-your-own-key to control unit cost
- ✓ No reseller margin on platform fees
Self-Hosted & Open-Source Voice Stacks
When call content cannot leave your infrastructure, or when volume makes per-minute pricing untenable, we build on the open stack: LiveKit or Pipecat for orchestration, Whisper or Deepgram for transcription, and open-weight or self-hosted TTS. Higher engineering cost up front, dramatically lower marginal cost per call.
- ✓ LiveKit / Pipecat orchestration
- ✓ Self-hosted transcription and TTS
- ✓ No per-minute vendor pricing at scale
Telephony & Systems Integration
The voice agent is the visible part. The work is everywhere else: SIP trunking, number porting, IVR replacement, and the write-back into your CRM, PMS, or ticketing system. This integration layer is where voice projects actually fail, and it is the part demos never show.
- ✓ Twilio / SIP trunking and number porting
- ✓ CRM, PMS, and helpdesk write-back
- ✓ Fallback routing when systems are down
Latency Tuning & Conversation Design
A voice agent that answers correctly but interrupts the caller is a worse experience than a slower one that waits. We tune turn-taking, endpointing, and barge-in behaviour against recordings of real conversations, not synthetic test scripts, because the two behave nothing alike.
- ✓ Turn-taking and endpointing tuning
- ✓ Barge-in and interruption handling
- ✓ Tuned against real call recordings
Voice agents that survive contact with real callers.
The gap between a voice demo and a voice deployment is conversation design, telephony integration, and knowing what breaks when you change one setting. That gap is the whole job.
What the per-minute price actually hides.
Voice AI is sold on an advertised rate that almost nobody ends up paying. Here is where the gap comes from, and how we handle each line.
We will tell you if voice is the wrong channel.
Voice is the most expensive and least forgiving interface to automate. It runs in real time, it has no undo, and a bad interaction damages the relationship in a way a bad email does not. Plenty of the work that gets scoped as a voice project is better served by a form, an SMS flow, or a callback request.
- ✓ If your call volume does not justify the build, we will say so on the first call
- ✓ If the answer is a booking link rather than an agent, we will say that too
- ✓ The pilot is scoped to one call type, so the decision rests on your numbers rather than a projection
Frequently asked questions.
How much does AI voice agent development cost?
A scoped proof of concept typically runs $8,000 to $25,000, and a full custom production build runs $35,000 to $150,000 depending on integration depth and compliance requirements. Running costs sit around $0.05 to $0.15 per connected minute on a self-assembled stack, rising toward $0.40 on premium managed platforms, plus telephony charges that are billed separately regardless of who builds it.
Which voice AI platform is best: ElevenLabs, Retell, Vapi, or Bland?
There is no single answer, which is why we benchmark against your actual call recordings rather than recommending by default. ElevenLabs leads on voice quality and multilingual range, Retell and Vapi offer strong orchestration and telephony ergonomics with bring-your-own-key pricing, and Bland bundles more of the stack at a higher per-minute rate. The right choice depends on your call mix, your latency tolerance, and whether you need to control unit cost at volume.
Can a voice AI agent integrate with our booking system or CRM?
Usually yes, and the answer is predictable before we start. If your booking system, CRM, or practice management software publishes an API or a documented integration path, integration is straightforward and quick to scope. If it does not, the agent has to drive the software the way a human does through the interface, which works but is more fragile and carries a permanently higher maintenance cost.
Why do voice AI agents sound like they are interrupting people?
Because most deployments are tuned for the lowest possible latency, and that is the wrong target. Below a certain threshold the agent starts responding to natural pauses mid-sentence, so the caller experiences it as being cut off. Good conversation design deliberately waits longer in the places where humans pause to think, which measures worse on a latency chart and performs better with real callers.
Can we self-host a voice AI agent so calls never leave our infrastructure?
Yes. We build on LiveKit or Pipecat for orchestration with self-hosted transcription and text-to-speech, which keeps call audio and transcripts entirely inside your environment. This costs more in engineering up front and substantially less per call at volume, and it is usually the right answer for regulated sectors or for anyone whose per-minute platform bill has started to look like a headcount line.
How long does it take to deploy a voice AI agent?
A pilot handling one call type can be taking real calls in two to four weeks, and a full production deployment across multiple call types typically takes four to six weeks. The build is rarely the constraint. Tuning the agent against real conversations and getting the integration write-back right is what takes the time, and skipping that is why so many voice pilots never reach production.
Not ready to book a call?
Tell us the one manual process eating the most time in your business. We will reply with whether it is automatable, roughly what it would take, and what it would be worth. No deck, no pitch.
Thirty minutes.
We'll tell you exactly
where your ROI is.
No sales deck. No 50-page report you have to pay for before anything gets built. Just a direct conversation about which of your workflows are costing the most and whether AI can fix them. If there's no compelling answer, we'll say so. And it's a conversation with Kash, our founder, not a rep reading from a script, because the person who built this business is the one who should understand yours.