daisee is speech analytics and quality assurance for contact centres, built on a simple observation about how QA actually works: most centres sample a handful of calls per agent per month and extrapolate, because listening to everything is impossible.
Transcribing and scoring every call changes what QA can claim. The platform transcribes rapidly, evaluates agent performance against quality standards, and centralises agent management, with the vendor citing 90%+ accuracy in transcription and quality scoring – verified, they state, by comparison against a human control group. That last detail is worth crediting: a stated benchmark with a named methodology is rarer in this category than it should be.
The positioning is “hear between the lines” – understanding interactions rather than counting them. Two things to settle before deployment: call recording and analysis carry consent obligations that vary by jurisdiction, and automated scoring should be treated as input to performance management, not a substitute for it. Engagement starts with a demo.
