Signal
Detection of abnormal scenarios
The system finds conversations that fall outside the norm by sentiment, compliance, duration, quality, or behavioral patterns.
Anomaly detector
for customer communication
A quality-control solution for calls and chats that automatically surfaces critical deviations, risky patterns, and systemic failures.
Fits teams that already have significant call and chat volume, but whose manual QA process cannot keep up with the required scale and speed of change.
The system helps managers and QA teams spot problematic signals earlier, react faster, and avoid reviewing the entire communication stream line by line.
Near real-time
Monitoring close to real time
Calls + Chats
Multi-channel coverage
Risk focus
Priority on critical cases
QA ready
Built for quality teams
What it analyzes
Not averages, but real deviations
Signal
Alerts on risks and critical deviations
The team focuses not on the full volume of communication, but on cases where there is a real risk of churn, errors, or SLA issues.
Signal
Near-real-time monitoring
It becomes easier to notice new negative trends and systemic issues early instead of discovering them a week later in reports.
How it is used
Quality control at scale
The solution helps QA and managers inspect not only average metrics but real outliers that require attention.
How it is used
Trend and recurring issue detection
Anomalies are grouped into observable patterns showing where scripts degrade, negativity grows, or operations start breaking down.
How it is used
Early risk detection
This is useful not only for calls but also for chats where the team wants to see risk points before quality drops at scale.
Outcome
Problem signals become visible earlier
The team notices critical call and chat deviations sooner instead of waiting for the issue to accumulate across volume.
Outcome
Fewer operational risks
The business reduces the risk of mistakes, reputational damage, and uncontrolled drops in communication quality.
Outcome
QA becomes manageable at scale
QA and team leads can work point-by-point on critical cases and manage service quality more effectively at volume.