
We're thrilled to share some exciting new features and updates on the platform. Hereās whatās new:
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AI QA automatically reviews your calls and provides crucial feedback 24/7.
With AI QA, you can:
ā Surfaces patterns in your calls: Find and fix systematic issues without getting stuck on one-off bad calls.
ā Track Resolution rates across every call: Transfer rate, disconnect reasons, repeat contact patterns ā by agent, call type, time period.
ā Catch what humans can't: Hallucination rate, sentiment shifts, tool accuracy ā measured automatically across every call.
First 100 minutes of analysis is free.
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With Alerting you can set triggers that alert you the moment something goes wrong with your agents.
Alerting lets you:
ā Know when an agent burns $100 in minutes, success rate hits 0%, sentiment drops 20% and more.
ā Delivered via email or integrate into your existing tools via webhook
ā Smart thresholds so you only get alerted when it actually matters
It only takes 2 minutes to set up your first alert.
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Search between any node in seconds using the search box or cmd/cntrl+F to review and audit large flows faster.
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Export Call History ā Export any of your agents' entire call history with URL's.
Voice API ā Add-voice, search-voice, and clone-voice APIs are now exposed through the SDK.
Custom Transcription Config - You can now choose between optimizing for accuracy or latency by changing the number of endpoints used
HubSpot Integration ā Retell is now available through the HubSpot Marketplace.
Auto IVR Hangup ā You now have an option to automatically hang up if your agent encounters an IVR system.
Auto transcription fallback ā If Deepgram or Azure has an outage, we seamlessly switch to the other provider without dropping audio, even mid-call.
Voice Emotion Control ā Cartesia Sonic-3 models now support Happy, Surprised, Sympathetic, and Calm. MiniMax voice models now support Happy, Surprised, and Calm
Concurrency Blast ā Allows up to the lower of 3x your concurrency limit or 300 additional concurrent calls. $0.1/minute for burst usage.
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