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 predict failures, without requiring prior knowledge of equipment history. It is offered as SaaS and on-premises, with REST API integrations for cloud or local deployments. Target customers are industrial equipment operators and maintenance professionals across energy, transport, defense, and manufacturing. The company also provides expert services and training to maximize outcomes.
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 predict failures, without requiring prior knowledge of equipment history. It is offered as SaaS and on-premises, with REST API integrations for cloud or local deployments. Target customers are industrial equipment operators and maintenance professionals across energy, transport, defense, and manufacturing. The company also provides expert services and training to maximize outcomes.
TL;DR
Product: DiagFit — AI-based predictive maintenance for industrial time series
Founded: 2018 (CNRS spin-off)
Headquarters: Grenoble and Paris, France
Customers / Sectors: Energy, Transport, Defense, Manufacturing
Team size (reported): About 11–50 employees (22 reported)
Company Overview
Problem Domain
Predictive maintenance and automated fault detection/diagnosis for complex industrial equipment.
Founded
2018
Industry
Data and Analytics
Tech Stack
Funding Track Record
Investor Signal
“Strategic board includes three investors”