
QA & observability platform for voice AI agents
By Tanmay Verma, Founder · Last verified 03 Jul 2026
In short
Roark — QA & observability platform for voice AI agents. Best for Voice AI development teams shipping customer-facing agents, QA engineers testing voice agent reliability at scale, Product managers monitoring voice agent quality post-deployment. Plans from $500/mo.
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Roark fills a critical gap in the voice AI stack: real quality assurance. The combination of pre-deployment simulation and post-deployment monitoring, backed by 10M minutes of real call data, makes it a must-have for any team serious about voice agent reliability. The consumption-based pricing with a $500 minimum may be steep for small experiments, but for production workloads it's a bargain compared to the cost of broken customer calls.
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Last verified: July 2026
Across the latest 1 update: 1 news mention.
How likely is Roark to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Roark is a quality assurance and observability platform built specifically for voice AI agents. It covers the entire lifecycle from pre-deployment testing with simulated conversations and personas to post-deployment monitoring of live calls with 40+ metrics, multi-speaker analysis, and automated evaluators. Teams connect in seconds via one-click integrations with VAPI, Retell, LiveKit Cloud, and Pipecat Cloud, or use the SDKs (Node, Python) for full control. What sets Roark apart is its focus on voice-native quality—it captures every failure mode from 10M+ minutes of processed calls and turns them into repeatable tests. It's built for teams that need to ship voice agents confidently without crossing fingers, backed by Y Combinator and SOC2 Type II/HIPAA compliance.
Roark is purpose-built for teams that are already using voice agent platforms like VAPI or Retell and need a rigorous testing and monitoring layer. If your voice agent is still in prototype or you're just experimenting, the $500/month minimum will feel like overkill. But once you have live calls with real customers, every broken interaction erodes trust and costs money — that's where Roark earns its keep. The pre-deployment simulation is particularly strong: graph-based conversation flows, configurable personas, and auto-generation of test cases from failed production calls mean you can catch regressions before they hit users. Post-deployment, the 40+ metrics (latency, sentiment, repetition, instruction-following) and multi-speaker analysis give you the data to debug why a call went wrong. Compared to generic observability tools like Datadog, Roark is specifically tuned for voice — it understands speaker turns, can detect compliance failures, and evaluates tool calls. The downside is the consumption-based pricing with a $500 monthly minimum; small teams may find this prohibitive. Also, if you're building your own voice stack from scratch, you'll need to use the SDKs rather than the one-click integrations. In practice, we'd recommend Roark for any team with at least a few hundred live calls per month. It's not a replacement for your voice agent platform, but it's the safety net that lets you sleep at night.
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