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Amiral Technologies
Amiral Technologies provides AI-driven predictive maintenance to reduce unplanned downtime. DiagFit analyzes industrial time series data using unsupervised machine learning to detect anomalies and…
Amiral Technologies
Amiral Technologies provides AI-driven predictive maintenance to reduce unplanned downtime. DiagFit analyzes industrial time series data using unsupervised machine learning to detect anomalies and…
TL;DR
Product: DiagFit — AI-driven predictive maintenance for industrial time series
Origin: CNRS spin-off based on ~10 years of academic research
Customers / Sectors: Energy, transport, defense, manufacturing (enterprise customers cited)
Founded: 2018
Team size: About 22 employees
Funding: First round reported: €2.8M (company announcement)
Company Overview
Problem Domain
Predictive maintenance for complex industrial equipment using time-series anomaly detection and failure prediction.
Founded
2018
Industry
Data and Analytics
Tech Stack
Funding Track Record
€2.8M
Announced in company e-publication/press material
Founders
What we do
Join the Team
Startup jobs. A lot of them.
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