Speech to text
Call recordings become time-stamped transcripts with the speakers separated.
Dynamic call analysis API
Turn call recordings into searchable, measurable data you can act on.
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.
Sentiment: NegativeTopic: DeliveryRisk: Medium
Automated call scores
A scalable quality score replaces the manual listening load.
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
API output
Transcripts, summaries, scores and signals flow into the systems you already run.
Automated quality control
Greeting, identity verification, prohibited phrases and process compliance are checked automatically.
Topic and sentiment extraction
Customer intent, complaint reason, sentiment shift and resolution status are labelled.
Call Analytics
Let us map out the analysis API flow for your call data together.
We review the channels, data and integrations you already have, then set out the right MVP flow.