April 2020
Headquarters 75008 Paris, France

REEFERPULSE - Detecting technical defaults and quality issues in containers

Reeferpulse is an Artificial Intelligence and Machine Learning based solution, able to predict Reefer energy and detect future problems from maritime IoT data stream.

Reeferpulse can predict energy use with ±1% error rate, for any reefers traveling the world. Its analytics run on any IoT available (T°, GPS and energy) and it does not rely on a specific hardware implementation, making this technology ubiquitous for all IoT services currently in operation. Furthermore, Reeferpulse’s technology includes Machine Learning in order to adapt to any systems / any cooling technology, and learn quickly without human supervision.

Key features

  • For each unit (reefer), the solution burns 0g of CO² per year and use up to 1 kWh/year.
  • It saves up to 2% of heavy fuel burnt by reefer electric usage on boat ships
  • 89kg CO² saved per year and per reefer.


  • Solution saves $100 to $150/year/reefer (i.e., $0.5 to $0.7billion/year)
  • It also helps save billions in wasted food and fuel every year.
  • Payback is immediate: the solution will be paid in full by insurance savings.

Activity Region

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