Voice AI agencies
You build voice agents for clients on Vapi, Retell, or Bland. Run tests before every deployment. Send clients proof their agent works.
We call your AI agents, IVR trees, and phone systems — run test scenarios, score quality, and catch regressions. Before your customers do.
Works with Vapi Retell Bland AI LiveKit Twilio Any IVR Any IVA Any phone number
Your voice system handles thousands of calls. But how do you know it still works after every change?
A prompt tweak, an LLM upgrade, an IVR reconfiguration — edge cases break and nobody notices until customers complain.
You call your own system 3 times, it works, you ship. But what about the 47 other scenarios, edge cases, and languages?
You have no idea if last week's deployment degraded call quality, increased latency, or broke your IVR routing. Zero data.
Describe what to test — via our UI or API. Set the persona, goal, schedule, and pass/fail criteria. Use our auto-generated scenarios or write your own.
name: "Book appointment - edge case"
phone: "+1-555-0123"
schedule: "every day at 09:00 UTC"
call_window: "09:00-18:00 America/New_York"
persona: "Impatient customer, speaks fast, has accent"
goal: "Book a haircut for tomorrow 2pm"
test_data:
credit_card: "4242 4242 4242 4242"
customer_id: "TEST-9921"
must_include:
- "confirm date and time"
- "provide booking reference"
must_not:
- "hang up before confirmation"
- "hallucinate availability"
max_latency_ms: 2000
From your base scenario, we auto-derive multiple test runs — edge cases, personas, accents, error paths. You can also add your own manual edge cases.
Our AI caller dials your phone number once per test run — navigates IVR menus via DTMF, follows the scenario, has a full conversation. Each run is a real phone call.
See results for every run at a glance. Spot where your agent fails. Add manual edge cases to cover what we missed.
Every test run feeds a live dashboard. Tag releases, spot trends, get alerted when things degrade.
Trigger tests from your CI/CD, get results via webhook, manage scenarios programmatically. Every feature in the UI is available through the API.
Create scenarios, trigger runs, fetch results. Full CRUD on all resources.
Get notified on test completion, failures, or score drops. Pipe into Slack, PagerDuty, or your own systems.
Run tests on every deploy. Fail the pipeline if quality drops below your threshold. GitHub Actions, GitLab CI, Jenkins — all supported.
You build voice agents for clients on Vapi, Retell, or Bland. Run tests before every deployment. Send clients proof their agent works.
Test your entire IVR tree — menu routing, DTMF navigation, hold times, transfer flows. Catch misconfigurations automatically.
Migrating from human to AI agents? Run the same test scenarios on both and compare scores, latency, and task completion.
Healthcare, salons, restaurants — booking bots must be perfect. Test edge cases: double bookings, cancellations, timezone confusion, payment flows.
All plans include full transcripts, audio recordings, AI scoring, API access, CI/CD integration, scheduled tests, and Slack alerts.
We place a real phone call (via SIP/PSTN) to your phone number — exactly like a customer would. Our AI caller follows your test scenario, speaks naturally, navigates IVR menus via DTMF, and records the full conversation on separate audio tracks for accurate analysis.
Anything with a phone number. AI voice agents (Vapi, Retell, Bland AI, LiveKit, custom), traditional IVR systems, IVA (Intelligent Virtual Assistants), or even human-operated call centers. If you can call it, we can test it.
Every test generates: a full transcript with separate speaker tracks, the complete audio recording, an AI-powered quality score (0-100), pass/fail checks against your criteria, latency measurements per turn, and actionable recommendations.
Yes. You can define test data in your scenario — credit card numbers, customer IDs, booking references, addresses — and our AI caller will use them naturally during the conversation, just like a real customer would.
Those are platform-specific and often text-only simulations. CallQA makes real phone calls to test the complete end-to-end experience — telephony, latency, DTMF/IVR navigation, audio quality — not just the LLM response. And it works across all platforms and traditional IVR systems.
That's our core use case. Schedule tests to run daily (or on every deploy via CI/CD), tag releases, and instantly see if a change degraded quality. The dashboard shows score trends, latency curves, and pass rate over time with release markers.
We'll stress-test your voice agent with 50 real scenarios and show you exactly what breaks. Limited to the first 100 teams.
We'll reach out within 24 hours to set up your free quality report.
Know someone who builds voice AI? Refer them and both get 50 extra test calls.