Suppliers > Israel > Presenso


Presenso Logo
HQ Location
Year Founded
Company Type
< $10m
11 - 50
Company Description

Presenso provides an AI Driven Industrial Intelligence solution.

The Presenso solution uses advanced Artificial Intelligence to provide real-time asset failure predictions based on monitoring sensors’ signal data in the cloud.

With its proprietary adaptive algorithms, Presenso can analyze sensor behavior, automatically learn how machines behave and use this learning to predict machine failures before they occur.

IoT Solutions

Presenso is a pioneer in the application of Artificial Intelligence for predictive asset management.

Advanced Deep Learning and Machine Learning algorithms analyze assets sensor behavior and automatically detect abnormalities and patterns within them.

Presenso is an Unsupervised solution that requires no pre-defined rules for alerts or human expert input. Facility technicians are alerted in real time to potential breakdown, thereby giving them advance notice to remediate the problem.

The Presenso Cloud continuously acquires the Big Data generated by multiple sensors that are already installed in industrial manufacturing lines and machines.

The real-time streamed-in data is run through an ensemble of unique “Machine Learning” and “Deep Learning” algorithms designed to predict and alert on any upcoming failure.

Key Customers

Siemens, ABB 

IoT Snapshot
Presenso is a provider of Industrial IoT data science services services, and also active in the chemicals, and paper and pulp industries.
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Technology Stack
Presenso’s Technology Stack maps Presenso’s participation in the IoT technology stack.
  • Devices Layer
  • Robots
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Application Layer
  • Functional Applications
  • Supporting Technologies
  • Analytics & Modeling
  • Application Infrastructure & Middleware
  • Cybersecurity & Privacy
  • Networks & Connectivity
Technological Capability:
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