What they do
tests, monitors and improves voice agents with simulations
How close to us
3, close
checks only; monitors and tests voice agents, so W2 ground but for voice-AI builders
Wedges
- W2 Seeing whether your AI agents actually produce adjacent
Who buys
- Firm size
- sme
- Buyer type
- developer
- Role
- head of engineering at voice AI teams
- UK
- not known
Their own description (from YC)
Roark helps teams test, monitor, and improve their voice agents.
Voice AI is exploding, but reliability is still the #1 challenge. Teams spend hours manually testing agents and still miss failures. In the last 6 months, Roark has processed over 10M minutes of calls, powering monitoring and simulation for teams across the Voice AI ecosystem (including YC companies).
We close that gap by combining:
📊 Monitoring & Evaluation - 40+ built-in metrics (latency, instruction-follow, sentiment, etc.), custom dashboards, alerts, and the ability to define your own. Up to 15 speakers with automatic speaker identification.
🎭 Simulations & Personas - end-to-end phone/WebSocket simulations for inbound and outbound agents, with configurable personas (accents, languages, speech & behavior profiles). Define tests as conversations with a graph-based approach, so you can easily branch into edge cases and variants.
🔁 Full lifecycle loop - failed calls automatically become repeatable tests, so every failure makes your agent stronger.
Roark is the missing QA layer for Voice AI - helping teams ship agents they can trust.
Full teardown
No full teardown yet. On the deep list.
Technical detail
- Slug
- roark
- Lens hash
- 179096c479
- Pass
- screen
- Stale
- no