Our knowledge graph solutions build contextual taxonomies linking entities across your data ecosystem to power predictive analytics, personalization and more.
Vast historical data trains self-learning models of normal operational patterns and inter-variable relationships.
02
Multivariate Monitoring
Simultaneous evaluation of diverse metrics detects subtle anomalies across related factors.
03
Anomaly Scoring
Deviations generate real-time scores calibrating each event's likelihood and importance.
04
Root Cause Analysis
Descriptive analytics pinpoint anomalous metrics and their probable upstream causes.
Case study 1
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Go to Use Case Title
Which Solution Are You Looking for?
Uptime
Proactive anomaly response prevents potential incidents and unplanned downtime.
Quality
Deviations flagged for further review before affecting products or customers.
Costs
Reduced remediation, waste and asset replacement expenses.
Visibility
Patterns exposed inform continuous process refinement improving efficiency.