Roark

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Ship voice AI confidently with Roark. Replay real calls to test, analyze performance & sentiment. Ensure quality & improve user experience.0
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What is Roark?

Building and deploying voice AI can feel like navigating uncharted waters. Are your updates actually improving the user experience? Are you catching critical errors before they impact your customers? Roark is your observability and testing platform, specifically designed for voice AI. It provides the clarity and control you need to ensure your voice agent consistently meets its goals, understands caller sentiment, and delivers a positive experience. Roark lets you replay past conversations, track performance, and fix problems before deploying changes.

Key Features:

  • 🔄 Replay Real Conversations: Transform actual customer interactions into test cases. Identify edge cases (failed conversations, frustrated callers, missed objectives) and use them to rigorously test new versions of your voice AI.

  • 🔬 Analyze Every Detail: Re-run test cases using perfect replicas of the original calls, including the caller's voice, pauses, tone, and even stutters. This allows you to track improvements over time.

  • 📊 Compare and Contrast: See precisely how your changes impact each call. Monitor success rates across multiple runs to guarantee consistent progress and identify areas needing further refinement.

  • ✍️ Enterprise-Grade Transcription: Benefit from highly accurate transcription (Word Error Rate of just 8.6%), surpassing even Deepgram, and supporting 50+ languages.

  • 😊 Understand Caller Sentiment: Detect customer emotions and vocal cues in real-time. Go beyond simple positive/negative sentiment to understand nuanced feelings like concern or anxiety.

  • 🚨Track Key Events: Monitor crucial conversation events (e.g., call forwarding, identity verification) and set custom alerts for missing steps or failures.

  • 🎯 Evaluate Conversational Goals: Automatically determine if key conversation objectives were achieved (e.g., insurance verification, symptom assessment).

  • 📈 Build Custom Voice Analytics: Create tailored reports using voice-specific metrics, such as word error rate, evaluation failures, and forwarded calls.

Use Cases:

  1. Healthcare Appointment Scheduling: A healthcare provider uses Roark to replay calls where patients struggled to schedule appointments. By analyzing the conversation flow and identifying points of confusion, the provider can refine their voice AI to guide patients more effectively, reducing frustration and missed appointments. They can also track if the goal was met.

  2. Legal Intake Process: A law firm uses Roark to monitor calls handled by their intake AI. They set up event tracking to ensure the AI reads the required legal disclaimers. If the disclaimer is missed, an alert is triggered, allowing the firm to address the issue promptly and maintain compliance. They use the replays to see if, after fixing the issue, the disclaimer is read on the same calls.

  3. Customer Service Refund Requests: An e-commerce company uses Roark to test a new version of their voice AI designed to handle refund requests. They replay past calls where refunds were incorrectly processed, ensuring the updated AI now handles these situations accurately and efficiently. They track the success rate across multiple runs to confirm consistent improvement.


Conclusion:

Roark empowers you to move beyond guesswork and confidently ship voice AI that delivers exceptional results. By combining powerful replay capabilities, in-depth analysis, and flexible integration options, Roark provides the tools you need to optimize your voice AI for performance, accuracy, and a superior user experience. Stop guessing, and start knowing – with Roark.


More information on Roark

Launched
Pricing Model
Paid
Starting Price
$500 /month
Global Rank
6375890
Follow
Month Visit
<5k
Tech used
Amazon AWS CloudFront,Next.js,Gzip,Progressive Web App,Webpack

Top 5 Countries

100%
India

Traffic Sources

81.12%
11.33%
7.55%
0%
Referrals Mail Direct Search
Roark was manually vetted by our editorial team and was first featured on September 4th 2025.
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