HOMEPULSE

Homepulse's latest AI-based solution is predicting maintenance needs, saving energy and optiziming operations for reefers and cooling rooms.

based on machine learning and AI technologies, Reeferpulse can automatically predict your system usage, detect abnormal consumption, predict system defaults and generates alerts and advices to field operations.

recent results show our solution can generate 3% to 5% in energy savings, detect 1 major system defaults every 1000 days of use and document power outages responsible for food wasting.

Over 1 billion USD is spent worldwide on random predictive maintenance of 4 million Reefers ; and almost 20% of goods shipped end up in dispute or wasted due to cold chain breakage.

Our energy analytics solutions enable us to predict compressor use and detect defaults weeks before the systems breaks. This is predictive maintenance allowing shipping companies and insurance to focus maintenance on actual issues and prevent system failure at sea.

technology is proven, pilots successfull and first customer feedback show a high pay back and quick returns on investments.

the market is still niche (over 200 000 reefers are smart, or communicating today), but fast grwoing and we expect 100% of reefers to be connected within 3 years.

Reeferpulse will be set as a spin off company in the US and will develop its market from the US

We are looking for seed - 250k, to launch the US subsidiary .

Alerting made smart thanks to disaggregation, false alarms rate down: happy of the interest raised by Romain Benassi's communication @NILM_Workshop ! 

https://twitter.com/HomePulseHQ/status/930322073481818114

Disaggregation  of load curve ; the challenge in IoT intelligence; results available, published by EPRI. HomePulse, one of the world best:

https://www.epri.com/#/pages/product/000000003002010030/