Roark vs Hamming: Which Voice AI Testing Platform Fits Your Team? - Roark

Roark and Hamming are both serious voice-agent testing platforms — the kind that simulate real calls, score the audio and not just the transcript, and turn production failures into tests. If you're comparing them, you're past the shallow options. This is written by a vendor (we build Roark), so we'll keep it specific and verifiable, and we'll be honest about where the two overlap.

The short answer

They cover a lot of the same ground: pre-launch simulation, audio-native evaluation, production replay, integrations with the major voice stacks, SOC 2 and a HIPAA BAA. This isn't a case where one does testing and the other does monitoring — both do both. The differences are in emphasis and mechanics.

Roark's center of gravity is simulation testing over real telephony plus a production-replay loop and the reporting layer that makes the results legible to a whole team. If your priority is high-fidelity simulation of the actual call path, deep audio-native scoring, and integrations documented in enough detail to inspect before you buy, that's where Roark concentrates — and it's the best-designed platform in the category for the people who actually run voice agents.

It's also proven at scale: teams at BCG, Spectrum, and Podium run their production voice agents on Roark. Enterprises with real volume and real compliance requirements put their traffic through it — which is a stronger signal than any feature grid.

Where Roark concentrates

• Simulation over real phone calls. Roark leases real numbers and dials your agent over the PSTN (and tests WebRTC stacks over WebRTC) — real telephony, not an in-process loopback — built from personas, scenarios, run plans, and schedules in 45 languages and accents, and it can gate CI.
• Audio-native metrics, and a lot of them. 64+ built-in metrics plus unlimited custom metrics, including models that score pronunciation, emotion, vocal stress, pace and pauses, and interruptions directly from the recording.
• Production replay as the core loop. Capture a real failed call and replay it against your updated agent until it passes — then keep it as a regression test so the same failure can't ship twice.
• Reporting the whole team reads. Dashboards with configurable widgets, saved reports, issues filed automatically when a call breaks a metric, 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— each with its mechanics and limits stated up front.
• Compliance. SOC 2 Type II, a HIPAA BAA, and annual penetration tests. See our security page.

Where Hamming is genuinely strong

An honest comparison names the other side's strengths. Hamming publicly emphasizes a few things worth weighing:

• Red-teaming and safety. Hamming foregrounds adversarial testing — jailbreak attempts, PII disclosure, prompt injection — as a named part of the product. Roark supports adversarial scenarios in simulation, but if a dedicated, pre-built safety-testing suite is a hard requirement, weigh Hamming's framing directly.
• Auto-generated scenarios. Hamming markets generating test scenarios from your system prompt automatically. If "don't make me write test cases" is the priority, probe both vendors on how much of your suite each will bootstrap for you.
• Language breadth. Hamming advertises a larger published language count. If you support a long tail of regional dialects, confirm coverage for your specific markets with each vendor rather than trusting a headline number.

The point isn't that these tip the decision — it's that they're real, and a comparison that pretended the competitor had no strengths wouldn't be worth reading.

When Roark is the right call

• Simulation fidelity matters most. You want tests that traverse the real telephony path — PSTN and WebRTC — not a synthetic handoff, with structured personas and scenarios you can version.
• Your failures live in the audio layer. Interruptions, pronunciation, pacing, emotional escalation — and you want a broad audio-native metric set plus unlimited custom metrics.
• You want the reporting to carry the "ready to ship?" conversation. Product, engineering, and compliance looking at the same scored calls, trend lines, and filed issues.
• You run Pipecat or self-hosted LiveKit and want the integration path public and inspectable before you commit.
• 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

Both platforms are credible enough that a spec sheet won't separate them — your own traffic will. Take your ten worst production calls from last month, run them through each platform's evaluation, and compare 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 yourself at docs.roark.ai.