Voice agents that hold real conversations at scale.

We architect production voice systems for inbound, outbound, and support — with sub-second latency, real telephony, and the eval framework to keep them honest after launch.

Live · in production
Recruitment agent · AU00:42
800+calls qualified
<800msround-trip latency
2 wksavg pilot ship
The problem

Why most voice agents fail.

Voice agents don’t fail at the prompt. They fail at the edges. They mispronounce the client’s name, lose state mid-call, panic on a hold request, and hang up rather than transfer. The fix isn’t a clever system prompt. It’s an eval framework that runs adversarial calls before every deploy, a fallback policy when the model is unsure, and on-call coverage when something inevitably drifts in production. We build for the edges first.

Production call logs · sample3 failures
01 · FailHang-up mid-sentence
02 · FailMisheard the caller’s name
03 · FailLong silence after a hold
What we ship

Four shapes, one engineering team.

01

Inbound receptionist agents

After-hours and 24/7 answering for clinics, recruitment firms, studios. Books, qualifies, hands off cleanly to humans.

02

Outbound qualification agents

Calls leads in your CRM, qualifies on a scripted flow, and books warm calls for your team — at a fraction of human cost.

See case study
03

Cloned-voice founder agents

ElevenLabs Pro voice cloning of the founder. Founder-led tone, at scale, shipped in two weeks.

04

Multilingual support agents

Language-aware routing on the first turn. English, Urdu, Arabic, Spanish — CRM-integrated, human-handoff aware.

Why Zaibex

Side-by-side with a typical agency.

We don’t outbid the cheap shops, and we don’t pretend to be McKinsey. Here’s where the real practical difference lives.

Typical agency
Zaibex
Junior dev assigned after kickoff
Senior engineer owns end-to-end
"AI-powered" demo, no evals
Adversarial eval suite before every deploy
$30K MVP, 8-week timeline
$3K–$15K, 2–4 weeks to production
Hourly billing, scope creep
Fixed-price per phase, scoped on day one
Hands off after launch
On-call + retainer for monitoring + evals
Built on a closed no-code platform
Code you own, hosted on your infrastructure
The stack

The exact tools and why we chose them.

No mystery stack, no platform lock-in. You see what we use, you read why, and you own the keys on day one.

01 · Telephony
Vapi

Sub-second latency on real SIP, with hot-swappable LLMs and turn-detection tuning.

02 · Voice synthesis
ElevenLabs

Pro voice cloning — the only TTS that survives a client A/B against a human recording.

03 · LLM
Claude

Best instruction-following under load, with safer fallbacks than the alternatives.

04 · Orchestration
n8n

Visual flow review with non-engineering clients during the architect phase.

05 · Database
Postgres + pgvector

Retrieval, CRM data, and call logs in one source of truth — no extra vector store to maintain.

06 · Monitoring
Custom evals + Vercel Logs

Adversarial regression tests on real call samples + production observability.

The process

Discover · Architect · Build · Ship.

Four stages, named timelines, named deliverables. No open-ended discovery. No moving goalposts.

01·3–5 days

Discover

We map your existing call flows, IVR menus, and the twenty edge cases your team already knows kill agents.

  • Call-flow map
  • Edge-case inventory
  • Eval scenarios
02·1 week

Architect

We design the system prompt, retrieval, fallback policy, and human hand-off — and write the evals before writing the agent.

  • Prompt + tools spec
  • Fallback policy
  • Eval suite
03·2 weeks

Build

Sandbox first, then a parallel telephony line. We iterate against the eval suite, not against gut feel.

  • Agent on sandbox number
  • Eval pass rate >95%
  • Hand-off integration
04·1 day cutover

Ship

Cutover during a quiet hour. We’re on-call for the first 72 hours and on retainer thereafter.

  • Production cutover
  • 72h hyper-care
  • Monthly eval report
In production

Real numbers, named client.

800+autonomous calls qualified in the first 90 days
Recruitment voice agent
Read the full case study
The problem

An Australian recruitment firm was losing candidates to slow response times — most applications came in after hours, but humans only called back the next business day.

Our approach

We built a Vapi + Claude agent that called every applicant within five minutes, walked through a six-question qualification flow, and booked warm calls for human recruiters. The founder’s voice was cloned via ElevenLabs.

The outcome

800+ autonomous calls in the first 90 days. 4× faster candidate response. Recruiters now only take pre-qualified warm calls.

Pricing & timeline

Fixed price. Fixed scope. Public ranges.

We don’t hide pricing behind a sales call. Pick the tier that matches your stage. The discovery call confirms scope, not budget.

Pilot
$3K
2 weeks
  • A custom voice agent built around your call flows
  • Custom voice clone — your voice or a team voice
  • Handles 100s of calls a month
  • 3 months of post-launch support included
  • Production-ready deployment
Custom
Let's talk
Tailored to scope
  • Fully customized to your operations
  • Senior engineer owns the engagement
  • Multi-flow, multi-vertical, multi-language as needed
  • Ongoing support tailored to your team
Honest answers

The questions we actually hear on calls.

How long does a voice agent take to ship to production?

A single-flow pilot ships in 2 weeks. A multi-flow production agent with CRM integration ships in 4 weeks. We’ve never missed a fixed-scope timeline.

Can it integrate with our existing CRM, calendar, or telephony stack?

Yes. We integrate with HubSpot, Salesforce, Pipedrive, Calendly, Google Calendar, Zendesk, and any system with an API. For systems without one, we build n8n connectors.

What happens when the agent doesn’t understand a caller?

Every agent ships with a fallback policy. After two failed clarifications it transfers to a human, leaves a voicemail, or sends an SMS — whichever your team prefers. The fallback is part of the scoped build, not an afterthought.

What languages do you support beyond English?

English (US/UK/AU), Urdu, Arabic (Gulf and Levantine), Spanish (US/Mexico), and any language ElevenLabs supports. We’ve shipped multilingual agents with language-aware routing on the first turn.

What does the monthly retainer cover?

Three things: 24/7 on-call for production incidents, monthly eval reports with regression tests on real call samples, and continuous prompt and tool optimization based on the previous month’s calls. It’s not a maintenance fee — it’s how the agent keeps improving.

Do we own the code, or are we locked into your platform?

You own everything. The agent code, prompts, evals, and infrastructure live in your account from day one. We use Vapi, ElevenLabs, and Claude — you hold the API keys.

Ready when you are

Voice agents aren’t going to replace your team. The good ones are going to free your team from the calls they shouldn’t have been taking in the first place. The bad ones are going to embarrass you on a Tuesday morning. We build the good kind — eval-first, fallback-aware, in production, on-call.