-Concentio®
Anomaly Detection and Predictive Maintenance in IoT Data
Predictive and prescriptive analysis of data received from various IoT data sources, including sensor, device, equipment or network enabling the users to take actions in real time on probable anomalies detected.
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IoT Doctor
Concentio® IoT Doctor can ingest data from numerous IoT data sources and alert the user of bad incoming data so that the inherent problem is fixed the data is not further used for descriptive, predictive or prescriptive analytics.
- Uses multiple sensors & devices close to each other, to detect anomalies
- Utilizes data from same or similar types of devices to create an initial fingerprint for newly added ones
IoT Data Anomaly Detection
Concentio® IoT Data Anomaly Detection checks the incoming data from IoT devices and sensors and predict the failure probability of the equipment.
- Real time anomaly detection for Missing, out of range or synthetic data
- Provides a real-time “health” score for underlying equipment or network
Production Line Fault Prediction
Concentio® Production Line Fault Prediction performs the AI-based predictive analysis of the production line components using the IoT Data, videos, images, etc.
- Uses computer vision to predict the probability of failure of a production line component
- Monitors all portions of the production line in real-time
Optimal Asset Management
Concentio® Optimal Asset Management analyzes the data coming in from the network of assets that provide utility services enabling the user to ensure timely maintenance of the network.
- Provides real time visibility into smart meter operations
- Identifies potential deployment issues, diagnoses the source of meter malfunction and optimizes field service
Predictive Maintenance
Concentio® Predictive Maintenance harmonizes internal IoT and non-IoT data to provide insight into asset failure risk and hence planning the maintenance efficiently and effectively
- Reduced capital expenditures by driving asset replacement decisions
- Provides trade-offs between time and cost for fixing an equipment
Real Time Scene Detection
Concentio® Real Time Scene Detection uses computer vision and deep learning networks to analyze videos and aerial images to help with object detection.
- Improves security in operations by identifying unauthorized workers
- Identifies gaps and provides recommendations to enable users to quickly identify and characterize unmitigated high-risk areas
Key Differentiators &
Business Benefits
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Real Time Object Detection
30+ proprietary AI-based algorithms related to computer vision and deep learning networks for real-time scene analysis
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External Data Enrichment
40+ scrapers & connectors for ingesting web & paid data subscriptions, e.g., news, social media, traffic, geo-location, sanction lists
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Data Governance
Provides role-based access & sends alerts for exceptions to strategies, policies & compliance guidelines
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Comprehensive Insight
With extraction of up to 200+ relevant features provides complete insight into asset risk, thereby enabling higher asset availability
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