Speech to text
Call recordings become time-stamped transcripts with the speakers separated.
Audio recordings become transcripts, summaries, topic labels, sentiment, agent compliance scores and risk signals. The API output connects easily to quality, training and operational systems.
Call analysis pipeline
Call recording
Transcription
Transcript
Sentiment and intent analysis
Score and labels
Quality score
Action output
Risk and compliance signals
Transcript summary
The customer expressed negative sentiment about a delivery delay.
Quality teams work with a far wider sample, and managers draw training, process and product insight out of customer conversations.
API
integration model
100%
sampling target
Per minute
analysis
Call recordings become time-stamped transcripts with the speakers separated.
Greeting, identity verification, prohibited phrases and process compliance are checked automatically.
Customer intent, complaint reason, sentiment shift and resolution status are labelled.
Call analytics is the automatic transcription of contact centre call recordings and their analysis by topic, sentiment, quality and compliance criteria. Every conversation is evaluated instead of a sample.
The service uses speech recognition models trained for Turkish, and a custom vocabulary can be defined for industry terms and product names. Accuracy is measured in a pilot on your own recordings.
Criteria such as greeting, identity verification, prohibited phrases and process steps are defined; every call is scored automatically against them, and the quality team focuses only on exceptions.
Yes. Recordings are pulled from your current PBX or contact centre platform through an API or file transfer; results can be written back to reporting and CRM systems.
We review the channels, data and integrations you already have, then set out the right MVP flow.