Development of predictive maintenance software for industrial sectors, using AI to analyze industrial data and detect weak signals on various equipment.
B
CSR Analysis score
The organization is among the top 20% of most committed organizations, excluding the top 5%, among comparable organizations.
+160,000
Total organizations analyzedAnalysis by axis
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Methodology: Score calculated according to 6 CSR themes (Carbon, Biodiversity, Circular Economy, Sustainable Investments, Governance, Social Impact)
Sources: Public data, CSR reports, documented initiatives, official databases
Last update: April 2026
This analysis is not yet available in English. Please see the French version.
Leading organizations
Amiral Technologies
A
Development and sale of predictive maintenance software for complex industrial equipment, enabling automated detection and diagnosis of failures.
InUse
B
Development of IoT and AI-based software solutions for Industry 4.0 and smart buildings, focusing on predictive maintenance and energy management.
Dataswati
B
Development and implementation of AI solutions for industrial production data analysis, aiming to improve energy efficiency, reduce material losses, optimize production costs, and enhance product quality.
Initiatives identified among leaders
Analyse de données pour réduire la consommation d'énergie
“InUse propose des solutions pour analyser les donn...” - InUseMaintenance prédictive pour des équipements nucléaires
“Amiral Technologies propose une solution de mainte...” - Amiral Technologies54% of similar organizations communicate on CSR issues
+220 initiatives collected from 50 similar organizations
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