
Test, monitor, and improve your voice agents.

roark.aiCrawled Oct 1, 2026
State-by-state AI voice disclosure laws are stacking up fast. Here's how QA and product teams turn disclosure into a testable, provable requirement on every call.
Explore the latest insights, trends, and updates in voice AI testing, monitoring, and quality assurance from the Roark team.
GPT-Live made full-duplex the baseline for voice AI. Here is how testing has to change when your agent listens and speaks at the same time.
Full-duplex voice models change the failure surface. Here's what breaks, which behaviors to test, and how to simulate them over real phone calls.
Join a small, fully remote team building the quality loop for voice AI agents. Hiring a San Francisco-based founding account executive and two founding software engineers across the US and Europe.
Our first go-to-market hire — a full-cycle closer who books their own demos, runs them for a technical buyer, and closes.
Own the evaluation pipelines, audio-native metrics and simulation engine that make Roark honest.
Own the product surfaces our customers live in — schema to pixel, and the customer call where you find out if it worked.
Roark is usage-based: start free, then pay only for the calls you simulate and monitor — in plain dollars, no seat licenses, no metric tax. Team and Enterprise add lower rates, more concurrency and controls.
A widely shared "BlueJay vs Roark" pricing breakdown gets Roark wrong — the pricing, the tiers, the metrics, and the compliance. Here is each claim and what is actually true.
An honest comparison of Roark and Cekura (formerly Vocera) for voice agent testing — simulation depth, audio-native metrics, production replay, integrations, and compliance.
An honest, source-linked comparison of Roark and Coval for voice AI testing — how each platform simulates and evaluates voice agents, where Roark goes deeper on real-call simulation and audio-native scoring, and how to choose.
An honest comparison of Roark and Hamming for voice agent testing — where each concentrates on simulation, audio-native evaluation, replay, integrations, and compliance.
Roark was founded by two engineers who learned the hard way how hard it is to test conversational AI. Fully remote, across San Francisco, London and Malta.
Roark simulates your voice agent against hundreds of scenarios before launch, then scores every production call on 500+ audio-native metrics. Catch what breaks, prove the fix, ship with evidence.
How Roark collects, uses and protects data across the platform and website.