Reveille AI
Harness the power of AI and machine learning to enhance the efficiency of managing ECM, IDP, and RPA systems.
- Cloud, on-Prem, or Hybrid Deployment
- Configure / No Code
- Agentless
Reveille employs open-source Prophet and Neural Prophet models with an unsupervised learning approach to enhance forecast accuracy
ECM, IDP, RPA monitoring expertise + AI
- KReveille Dynamic Thresholding and Predictive Analytics (TBA) employ AI/ML models for enhanced monitoring accuracy and earlier warnings
- KScalability is provided by a scale up or down design
- KReveille AI can run in AWS, Azure, or GCP cloud hypervisors
Improve accuracy and reduce false positives
- KAdaptively set evaluation thresholds to ensure the accuracy and validity of your monitoring
- KMinimize false positives with parameters that accurately move with normal fluctuations
- KAccount for periodic patterns such as daily, weekly, or monthly fluctuations to distinguish true anomalies from expected variations
- KAvoid unnecessary noise and stay informed of actual issues with smarter alerting thresholds
Free yourself from manual tuning
- KReduce manual maintenance in setting, checking, and validating thresholds
- KDynamically adjust to workload variations
- KReveille provides a comprehensive subsystem to configure, maintain, measure, and review dynamic threshold forecasting capabilities
Forecast and fix before impact with Predictive Analytics
- KPossible 'fix' before user opens ticket
- KImproved availability for your application
- KMinimize downtime costs
- KSupervised and unsupervised
