IoT Doctor

AI-based IoT Sensor Data Analytics

IoT Doctor is an application that can ingest data from numerous IoT devices and sensors of high quality and alert the user of bad incoming data so that the inherent problem is fixed and this data is not further used for descriptive, predictive or prescriptive analytics.

Use Cases

  • Identification of error prone data

  • "Fingerprinting" for detecting tampered sensors or devices

  • Mitigating the use of tampered data

  • Automated monitoring of data integrity

Concentio Serves


IoT Data Analytics for real time “health” score for a device

IoT Doctor by Scry Analytics Discovers correlation between sensors and devices of various types for flagging spurious data by using multiple sensors & devices close to each other, to detect anomalies.

More Detail

Concentio has been built using
the following technologies

  • Bayesian networks

  • Reinforcement learning

  • Generic rule-based machine learning

  • Heuristic algorithms

  • Data mining

  • Big data integration

  • Big data analytics

  • Reverse engineering

Key Differentiators &
Business Benefits

  • Ready to Use UI

    Pre-built graphical user interface (GUI) & APIs for quick deployment & integration with clients’ existing workflow.

  • Customizable Alerts

    Customizable graphs and alerts based on prescriptive analysis as per client requirements.

  • Fingerprint

    Generates a device fingerprint based on time-series data to predict anomalies in the incoming data.

  • Data Integrity

    Real-time check for missing, out of range, abrupt changes in gradient or lack of correlation with other data.