Kairos is a digital platform for failure prediction, performance improvement and process optimization.

Able to process sensor data in real time using MACHINE LEARNING AND DEEP LEARNING ALGORITHMS to continuously improve failure predictions, optimizing your industry.

Less costs, more safety

With Kairos you avoid:

DOWNTIME
UNPLANNED MAINTENANCE
OPERATIONAL INEFFICIENCY
UNAVAILABILITY OF SPARE PARTS
WASTE OF ENERGY

MODULES

KAIROS platform is currently applied in 4 main different modules, available to run on-premises or on cloud-based solutions:
Machinery, Process, Subsea and IoT.

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By processing Metocean and MRU data from offshore units through artificial intelligence algorithms, KAIROS evaulates in real time the integrity and remaining service life of subsea structures. KAIROS is connected directly to the unit’s existing data aquisition systems.

  • Rigid and flexible risers
  • Mooring lines
  • Drilling risers
  • STU umbilicals
  • TLP tendons
  • Bracers
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It incorporates real-time performance indicators and failure prediction to the functionalities of conventional condition monitoring systems. KAIROS connects to the data acquisition system, receiving information from all available sensors.

  • Motors
  • Gearboxes
  • Generators
  • Wind turbines
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Analyses in real time the performance of industrial equipments, to predict failures and undesired operational conditions.

It connects to the existing automation systems, receiving information from all the available sensors.

  • Pumps
  • Valves
  • Heat exchangers
  • Polymer extrusion machine
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Our low cost solution opens the door for data analytics, machine prognosis and failure prediction in mobile vehicles. Our low cost electronic module acquire data from GPS, engine, accessory systems, pedals, steering wheel, etc.

All these data are processed with artificial inteligence algorithms to guarantee a safe and continuous operation, reducing maintenance costs. All prediction outputs are displayed in the cloud-based KAIROS app.

  • Industrial Trucks
  • Vessels
  • Bus
  • Construction and mining machinery