AI expertise

Our technological innovation allows us to tackle the various challenges of raw data analysis in an industrial context.

Resulting from several years of R&D at the French Institute of Research in Computer Sciences & Artificial Intelligence (Inria), DiagRAMS algorithms are specially designed to analyze your industrial data.

They allow to monitor in real time the operating status of all equipment, anticipate breakdowns and malfunctions, without adding new sensors.

1

Existing
data

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ALL TYPES
OF DATA AND EQUIPMENT

Consideration of the variety of conditions of use

INDUSTRIAL EQUIPMENTS
data

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MAINTENANCE
data
(CMMS)

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PRODUCTION
data
(MES-SCADA)

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+
2

Merging
data

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CONSOLIDATED
DATABASE

Heterogeneous data

FROM
VARIOUS SOURCES
3

Machine
learning

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PROPRIETARY
ALGORITHMS

Analysis of raw industrial data

HETEROGENEOUS
& MULTI-SENSORS DATA

ANOMALIES
detection


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FAILURES AND MALFUNCTIONS diagnosis

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REMAINING USEFUL LIFE
prediction

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4

HMI

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FULL
DASHBOARD

Monitor all equipment

EXPLANATION OF
RESULTS

Switch to
predictive maintenance !