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Platform Comparison

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Roark vs Cekura: which voice AI testing platform fits your team?

An honest comparison of Roark and Cekura (formerly Vocera) for voice agent testing — simulation depth, audio-native metrics, production replay, integrations, and compliance.

James Zammit

James Zammit

Co-founder & CEO @ Roark

8 min read
Roark vs Cekura: which voice AI testing platform fits your team?

Roark and Cekura (formerly Vocera) both do the core job: test voice and chat agents before launch, monitor them in production, and score the conversation on more than a transcript. If they're both on your shortlist, you're comparing two real platforms — not a toy against a serious one. We build Roark, so we'll be specific about where it concentrates and honest about where Cekura is strong.

The short answer

Both cover simulation testing, voice-specific evaluation, production monitoring with dashboards, and integrations across the major voice stacks, with SOC 2 and HIPAA on the compliance side. The decision isn't about who has "testing" versus "monitoring" — it's about how deep the simulation goes, how the audio is scored, and what the platform does with a failure once it finds one.

Roark leans hardest into simulation over real telephony, a broad audio-native metric set, and a production-replay loop that turns real failures into permanent regression tests — with reporting built to settle the "is this ready to ship?" question on evidence. It's the best-designed platform in the category, built for the people who actually run voice agents.

And it's proven where it counts: teams at BCG, Spectrum, and Podium run their production voice agents on Roark. Enterprises with real volume and real compliance requirements trust it with their traffic — a stronger signal than any spec sheet.

Where Roark concentrates

  • Simulation over real phone calls. Roark dials your agent over the PSTN from leased numbers (and tests WebRTC stacks over WebRTC) — the real call path, not a loopback — from personas, scenarios, run plans, and schedules in 45 languages and accents, with CI gating and inbound and outbound support.
  • Audio-native metrics, plus unlimited custom. 64+ built-in metrics and unlimited custom ones — scoring pronunciation, emotion, vocal stress, pace and pauses, and interruptions from the recording itself.
  • Production replay as the core loop. Capture a real failed call, replay it against your updated agent, and keep it as a regression test — so the incident becomes coverage, not a one-time fix.
  • Reporting the whole team reads. Dashboards with configurable widgets, saved reports, issues filed automatically when a metric breaks, and OpenTelemetry traces.
  • Integrations you can inspect. Public, per-platform docs — a code-level Pipecat observer, a self-hosted LiveKit SDK, and API-key flows for Vapi and Retell — plus Node and Python SDKs.
  • Compliance. SOC 2 Type II, a HIPAA BAA, and annual penetration tests — see our security page.

Where Cekura is genuinely strong

An honest comparison names the other side's strengths. A few of Cekura's are worth weighing:

  • LLM-judge tuning. Cekura foregrounds editing and replaying evaluation prompts against real recordings to align its judges with your ground truth. If hand-tuning the evaluator is central to how your team works, probe both vendors on how much control you get over the scoring layer.
  • Contact-center reach. Cekura advertises integrations into traditional contact-center stacks (e.g. Cisco, Five9) alongside the modern voice platforms. If your agent lives in a legacy telephony environment, confirm that path with each vendor.
  • A large pre-built scenario library. Cekura markets thousands of ready-made test scenarios. If you want a big starter set out of the box, weigh how much each platform hands you on day one.

These are real. A comparison that pretended the competitor had no strengths wouldn't be worth reading.

When Roark is the right call

  • Simulation fidelity matters most. Tests that traverse the real telephony path — PSTN and WebRTC — with structured personas and scenarios you can version and schedule.
  • Your failures live in the audio layer, and you want a broad audio-native metric set plus unlimited custom metrics rather than a fixed list.
  • You want failures to become permanent tests via the production-replay loop, not just alerts in a dashboard.
  • You run Pipecat or self-hosted LiveKit and want the integration mechanics documented and inspectable before you buy.
  • You're in a regulated vertical. SOC 2 Type II plus a HIPAA BAA clears procurement in healthcare and financial services.

The fastest way to decide

Two credible platforms won't separate on a feature grid — your own calls will. Take your ten worst production calls from last month, run them through each platform's evaluation, and see what each actually catches; then run the same simulation scenario against your staging agent on both. For Roark, email support@roark.ai with a recording and we'll score it live, or check the mechanics at docs.roark.ai.

James Zammit

Written by

James Zammit · Co-founder & CEO @ Roark

Building Roark — the quality platform that simulates, monitors, and auto-improves voice and chat agents.

Bring a recording.
We’ll score it live.

See your own agent measured on the audio it actually produced, in the demo, in real time. Stop guessing whether your voice AI works.

Or start free with $50 in credit · read the docs · support@roark.ai