What is the core function of Roark, and what problem does it solve?
Roark provides a continuous improvement loop for voice AI agents by simulating them against realistic scenarios before launch, then scoring every production call on 64+ audio-native metrics. This helps teams identify issues like compliance failures or poor pronunciation, prove fixes in simulation, and ship with evidence, addressing the problem of unreliable voice AI deployments.
In what situations is Roark used?
Roark is used when teams are building and operating voice AI agents. It is used before launch to simulate agents against hundreds of scenarios, and during production to score every live call for issues like identity verification, empathy, and resolution. Specific use cases include testing support agents that handle refunds, evaluating healthcare calls for compliance disclosures, and validating client voice agents.
Who is the target audience for Roark?
Roark is for teams and developers building and shipping reliable voice AI systems. The evidence specifically mentions its use for teams in support and sales, healthcare organizations evaluating calls for compliance, and businesses validating client voice agents before they go live.
What features and capabilities does Roark offer?
Roark offers simulated replays of real production calls, live scoring on 64+ audio-native metrics, a four-step improvement loop (Catch, Simulate, Review, Verify), and integrations with platforms like Vapi, Retell, LiveKit, and Pipecat. It also provides diffing for prompt/model/voice changes and tracks metrics like pronunciation and quality score recovery.
How is Roark priced or packaged?
Roark offers a free starting tier with $50 in credit and no credit card required, as stated in its main homepage text. The evidence does not provide details on paid tiers or specific packaging models.
What is Roark?
Roark is a voice AI testing and evaluation platform that provides simulated replays of production calls, performance tracking, and issue debugging to help teams ship reliable voice AI agents faster.