IoT Doctor

Automated Data Anomaly Detection in IoT & Supply Chain Networks

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.

Key Features

  • Capable of generating device level identification i.e. fingerprinting.
  • Detect unusual device behavior with root cause analysis.
  • Maintain data integrity via series of preprocessing steps and advanced AI algorithms.

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 Differentiators & Business Benefits

  • Product Accuracy

    90%+ Accuracy with prebuilt ontologies and scalable over time using reinforcement learning.

  • Reinforcement Learning

    Inherent Reinforcement Learning algorithms provide improved performance over time with & without human intervention.

  • Time-Series Graphs

    30+ probabilistic spatial graph algorithms trained for automated ingestion, fingerprinting and real-time analysis of sensors, smart meters and networks.

  • Comprehensive Coverage

    Delivers multi-million variable analysis for end-to-end coverage and actionable insights for asset risks, failures and maintenance.

  • Best-in-the-Market AI/ML Stack

    Equipped with a library of 30+ proprietary supervised and unsupervised algorithms designed, trained and tested.

  • Anomaly Detection

    Real-time analysis and alert generation using computer vision and varied visual data sources such as videos and images from internal and external sources.

Concentio Serves

  • Smart Cities
  • Manufacturing
  • Healthcare
  • Industrial Infrastructure

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