​AI-powered predictive maintenance

Improve asset uptime and operational productivity​

The application unifies operational data from multiple sources and applies advanced machine learning, natural language processing, and generative AI techniques to identify equipment risks in advance, provide digestible insight summaries, and generate recommended actions to help reduce downtime and maintenance costs


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designed for ease for ISO9001, ISO22001, ISO22001, ISO27001, ISO45001, ISO50001 of use, is configurable to enable organizations like yours to set the highest quality standard.

  Sang Ho • INSILOS DIVISION

Can be deployed across all types of assets, equipment, and industries.

EQUIPMENT

INDUSTRIES

Camera

Oil & Gas

iiOT devices

Manufacturing

Motor

Telecommunications

Benefits for Professionals

Asset Engineer

With better asset health visibility, prioritized alerts, and detailed diagnostics, asset engineers can quickly resolve impending asset risks.

Plan Manger

With improved asset availability, plant managers can drive continuous productivity improvement while meeting critical production targets.

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Data Scientist

 Data scientists can quickly operationalize high-performing machine learning models using model templates and flexible model deployment architecture.

Operation Manager

With predictive asset health insights, operations managers can effectively allocate resources and establish advanced maintenance schedules.


Datasource