Record any opt-in interaction — a support call, a user interview, a usability test — and get back a structured report of how the person actually felt: where frustration spiked, where trust built, and how the session ended. Built on the same detect · update · adapt models as our real-time products.
Every session ends with a structured summary your team can act on — not a transcript someone still has to read end to end.
{
"session_id": "call_9f21",
"duration_s": 214,
"dominant_emotion": "anger",
"distribution": {
"anger": 0.38,
"neutral": 0.31,
"happy": 0.19,
"fear": 0.12
},
"opened": "neutral",
"closed": "happy",
"arc": "improving",
"adaptations": 3
}Three steps: capture, analyze, deliver.
See which calls actually needed a supervisor, and why.
An emotional read on every usability test, not just what testers said out loud.
Know which parts of the pitch actually landed.
Trend emotion across thousands of interactions, not just a CSAT score.
Try the live voice agent demo end to end, then talk to us about wiring this into your own call or research pipeline.