Roark

👋 Hey Product Hunt!

We’re @zammitjames & @danielgauci, co-founders of Roark (YC W25).

When we first built voice agents, we ran into the same problems every team faces:

• Testing was manual - we literally called agents over and over just to check if they followed instructions.

• Monitoring was missing - we didn’t know when failures happened, and even when they did, we had no idea which levers to pull to make the agent better.

• Fixes didn’t stick - regressions kept popping back up without us noticing.

So we built Roark - a platform that brings reliability and visibility to Voice AI.

Here’s what Roark does today:

🔹 Monitoring & Evaluation

• Capture 40+ built-in call metrics and events (latency, instruction-following, repetition detections, sentiment, etc.) - plus define your own custom ones.

• Support for calls with up to 15 speakers, with automatic speaker identification.

• Analyze audio with models for emotion, vocal cues, and even fine-tuned transcriptions based on your use case.

• Build dashboards, schedule reports, set up alerts, and trigger webhooks so your team is always in the loop.

• Evaluate calls with best-in-class evaluators you can run on demand or automate via SDK/API.

🔹 Simulations & Personas

• Run end-to-end simulations for both inbound and outbound agents, over the phone or WebSocket - so you’re testing the same paths real customers take.

• Define tests as conversations - a sequence of turns between customer and agent, using a graph-based approach. This makes it easy to branch into edge cases or test variants, so your coverage reflects real-world complexity, not just happy paths.

• Configure personas by gender, language, accent, background noise, and speech profile (pace, clarity, disfluencies).

• Layer on behavior profiles like base emotion, intent clarity, confirmation style, memory reliability - even a backstory.

• Stress-test across real-world variables and automatically generate test cases from live calls (failed calls → repeatable tests).

🔹 Developer-first Integrations

• First-class SDKs in Node & Python + REST API.

• Native support for LiveKit, Pipecat, VAPI, Retell, and Voiceflow.

• Easiest integrations on the market - nothing bolted together overnight.

👉 In the past 6 months, Roark has already processed over 10M minutes of calls for companies like Radiant Graph, Podium, Aircall and BrainCX - helping them evaluate agents and run simulations at scale.

The result? A full lifecycle platform that closes the loop: monitor your live calls → spot failures → turn them into tests → improve continuously.

Think of Roark as the QA + Observability layer for Voice AI - robust, deeply thought-out, and built to last.

If you’re building voice agents, you can sign up today for 50% off with our PH discount, book a demo here if you’d like a walkthrough, or just drop me a note at james@roark.ai - we’d love to help.

- James & Daniel

Congrats on the launch @danielgauci 🔥

We had such a good experience with Roark at LumaLink. James and David worked so closely with us that it felt like an extension of our own team. The product is rock solid, but honestly, the partnership was just as valuable — we even ended up being their customer reference for investors.

Congrats on the launch!

I've been following this project since you all started on it, and it's amazing how well this thing works. This is not a typical LLM wrapper - there's some serious engineering work going on inside. Automated test suites alone is worth the price of admission and setup with Vapi was a breeze.

Cool, voice agents are getting more and more popular and your product seems to be a doctor for them! BTW - will you give any improvement suggestion for voice agents?

0:09

"I need to reschedule my appointments to next Monday."

"Okay, I've cancelled all your future appointments."

😂

Congrats on the launch, guys! Not sure how (reliable) voice agents can be developed without something like this.