I-care Group is adding an AI system designed to detect equipment anomalies without relying on past failures, after acquiring the assets of French technology company Amiral Technologies.

The Belgian predictive maintenance specialist announced the acquisition on Sept. 17. The deal includes Amiral’s DiagFit technology as well as its research and sales teams.

DiagFit gives I-care another way to analyze complex equipment behavior. It can work with data from multiple sensors and operating conditions, then identify changes that fall outside an asset’s normal operating pattern.

The technology could have particular relevance in industries where equipment failures carry high costs and historical failure data remains limited. I-care said the acquisition expands its ability to serve sectors including defense and nuclear operations.

DiagFit does not need a large library of previous failures to identify an anomaly. Instead, it uses historical operating data to establish how a complex asset behaves under normal conditions.

Once that baseline exists, the system can compare incoming operational data against it. A deviation from expected behavior can then trigger an indication that something has changed.

That distinction matters when engineers monitor equipment that rarely fails. A satellite or helicopter, for example, can accumulate extensive operational data without producing enough failure events to build a conventional failure-based model.

DiagFit was developed by Amiral Technologies, a Grenoble-based company that originated as a CNRS spin-off. Its technology has been applied to complex assets including satellites and helicopters.

Fabrice Brion, I-care Group’s founder and CEO, said the acquisition strengthens the company’s ability to process difficult industrial datasets.

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