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Enterprise Layer Intelligence
Categories/Data Analytics/Seeq Corporation
Seeq Corporation

Seeq Corporation

Founded 2013

Analyze industrial sensor data to prevent machine downtime

You can use Seeq to connect time-series data from industrial sensors and factory equipment across your manufacturing sites. It lets process engineers, data scientists, and plant managers examine machine performance, identify operating patterns, and catch equipment failures before they happen. You can build predictive models, track energy use, and monitor asset health across chemical, pharmaceutical, and energy facilities. Teams can collaborate on investigations, document root causes, create forecasts, and share interactive dashboards across facilities without writing custom computer code. This reduces unplanned downtime and maintains strict product consistency.

What Seeq Corporation does

Query historical time-series sensor logsSet up condition monitoring alert rulesBuild visual forecasts for electrical load and production capacityExport batch investigation reports for regulatory reviewAssemble operational dashboards showing real-time equipment statusCorrelate temperature and pressure variances with asset wearConnects directly to operational historian databases and sensor networksTime-series data search and pattern recognitionCondition monitoring and automated asset anomaly alertsCollaborative workspaces for engineering investigationsPredictive modeling tools for equipment maintenance and forecastingInteractive dashboards for plant and enterprise operationsCompliance tracking and reporting tools for regulated manufacturing

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Seeq, AI analytics, industrial analytics, time-series data, operational data, predictive maintenance, condition monitoring, asset reliability, plant operations, manufacturing analytics, energy forecasting, root cause analysis, process manufacturing, SCADA data, sensor data, industrial AI, operational intelligence