With the rise of industrial IoT, high return on investment is expected from predictive maintenance solutions. But unfortunately, the lack of historical failure data to train machine learning algorithms in the last years, has led to a lot of frustrations from industrial customers and investors. A new route to success had to be opened. This could only come from academic research. Thanks to its novel technology invented by CNRS (National Center of Scientific Research), in the last 18 months, Amiral  Technologies has proven to several customers that its breakthrough approach to failure prediction has removed this major roadblock to reaching high ROI.

Prediction is very difficult, especially if it’s about the future

Niels Bohr, Nobel prize in Physics 1922
Partners
Awards

News

Recent Tweets

It's today! Don't miss our co-founder and COO, Katia Hilal, speaking about blind failure prediction applied to the… t.co/gKnCHo15wR

We are proud to present three new use cases. - Anomaly prediction on a autopilot system: t.co/TvSXZXNtfB… t.co/uBrR8xyKLi

Vincent Weyh est notre ingénieur développeur Front-End expérimenté et il intervient sur toute la chaîne de développ… t.co/g1ud5Dd4AS

Events