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Reeferpulse has designed and deployed a predictive maintenance solution, able to detect reefer (refrigerated containers) issues before they occur and able to save some of the $10 billion food and energy wasted every year during cold food maritime transport.

Type Startup or self-employed
Founded 2019
Company Size 6
Member Type
Founders Luc Terral
Headquarters 75008 Paris, France
Social network


Reeferpulse is an Artificial Intelligence and Machine Learning based solution, able to predict Reefer energy and detect future problems from maritime IoT data stream: 1. Reeferpulse can predict energy use with ±1% error rate, for any reefers traveling the world. 2. Reeferpulse’s analytics run on any IoT available (T°, GPS and energy) and doesn’t rely on a specific hardware implementation, making this technology ubiquitous for all IoT services currently in operation 3. Reeferpulse’s technology includes Machine Learning in order to adapt to any systems / any cooling technology, and learn quickly without human supervision. Reeferpulse is now in a unique position to deliver accurate predictions and relevant, qualified alerts on Reefer consumption: for each new trip, the solution will learn how the reefer is supposed to use electricity within 10 to 15 hours of start, will detect unusual changes in energy use, and will generate alerts or notifications to prevent issues to develop further; the technology automatically integrates the thermal inertia of the load and thermal qualities of the container, and will compare actual energy spent with predicted, hence detecting operation issues and future failure risks before they occur.
Headquarters 75008 Paris, France

SDG’s of application

The Sustainable Development Goals are a call to action to end poverty, protect the planet and ensure peace and prosperity everywhere.
Clean water and sanitation
SDG 6 icon
Affordable and clean energy
SDG 7 icon
Industry, innovation and infrastructure
SDG 9 icon
SDG 11
Sustainable cities and communities
SDG 11 icon
SDG 12
Responsible consumption and production
SDG 12 icon

Efficient Solutions

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