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
Awards

News

DiagFit 1.5

Amiral Technologies launches version 1.5 of DiagFit, its flagship solution for blind failure prediction of industrial equipment – without the

Continuer la lecture »

DiagFit 1.5

Amiral Technologies lance la version 1.5 de DiagFit, sa solution phare de prédiction de pannes d’équipements industriels à l’aveugle –

Continuer la lecture »

Recent Tweets

Nous avons interviewé notre CTO, Sébastien LE GALL, sur la nouvelle version de notre solution de prédiction de pann… t.co/dh9SllW8uL

"Nous avons tous les types de profils de société dans ces deux domaines : des grands groupes comme Microsoft, ainsi… t.co/fTg3Kkslbq

Have you heard about DiagFit 1.5? It's our blind failure prediction software. Take a look at the new features and c… t.co/NUIhdWqX2C

Events