Seeq is an industrial analytics platform that applies machine learning and AI to time series data to monitor, diagnose, and optimize process operations.
Seeq is an advanced analytics platform designed for engineers and data professionals working with industrial time series data. Its primary purpose is to enable rapid investigation, monitoring, and optimization of processes by connecting to disparate data historians and IIoT sources, and transforming raw sensor data into actionable insights. Seeq helps organizations reduce time-to-diagnosis, improve asset reliability, and support data-driven decision-making across operations.
Key features include powerful visual analytics for time series data, with tools for data cleansing, contextualization, and modeling directly in the browser. Users can define conditions, perform complex calculations, and build machine learning models without needing to export data to separate environments. Seeq provides collaboration capabilities, allowing teams to share workbooks, dashboards, and analyses, as well as versioning and audit trails to support regulated industries. Integration with common industrial data sources (such as OSIsoft PI, Honeywell, and other historians), plus connectivity to cloud platforms, enables scalable deployment across plants and enterprises.
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