Product
Auto-built anomaly detection
Anomaly Detection AI Agent
Overview
We build anomaly detection models tailored to your site's data characteristics, delivering an end-to-end flow from alerts and visualization through to reporting. It eliminates the reliance on individual experts for threshold design and raises the precision of preventive maintenance.
Benefits
- Catches anomaly signs early, reducing downtime risk
- Standardizes monitoring rules and reduces operational overhead
Target Industries
- Manufacturing
- Industrial Plants
- Equipment Maintenance
- Energy
- Quality Assurance
Challenges We Solve
Before
- Missed anomaly signs lead to equipment shutdowns
- Thresholds and monitoring rules depend on individual experience
- Root-cause analysis after alerts takes too long
After
- Anomaly scores are visualized, enabling early response
- Standardized detection logic levels out operations
- Dashboards accelerate root-cause analysis
Software Features
Data Ingestion & Preprocessing
Imputes missing values and normalizes time-series data to make it ready for analysis.
Anomaly Score Computation
Combines statistical methods with machine learning to quantify anomaly signals.
Alerts & Visualization
Supports on-site decision-making through alert notifications and dashboards.
Input Formats
Sensor data (CSV / JSON), databases, OPC UA, and more
Output Formats
Anomaly scores, alert history, daily reports (PDF / CSV)
Integrations
SCADA / MES, monitoring notifications (email / chat), cloud platforms
Technologies
- Time-Series Analysis
- Statistical Anomaly Detection
- Machine Learning
Output Examples
Contact Us
We propose detection models and operational workflows tailored to your on-site data conditions.
- PoC and validation support for anomaly detection
- Standardization of threshold design and monitoring rules
- Design of alert notifications and dashboards