Seeq

Established in May 2013, Seeq offers an application capable of processing data analytics. The application enables data search, adding context, establishing boundaries, monitoring assets, real time collaboration and interacting with time series data. Seeq Corporation creates software and services facilitating industrial process analytics on industrial process data. Industrial process data refers to the collection of time-series data, events, and signals, including related contextual data, generated by production and manufacturing organizations.

As a result of the high volume, velocity, and variety of these data streams, industrial process data typically requires extensive manipulation for insight and analytics enabling. Seeq's analysis tools are applicable for industrial markets like oil refineries, pharmaceuticals, and energy production. Headquartered in Seattle, Seeq also possesses satellite offices in the western United States and Canada.

Seeq Software Overview

Workbench is the company's application for engineers who are engaged in diagnostic, descriptive, and predictive analytics with process manufacturing data. Workbench possesses features to facilitate the arc of the analytics process, from connecting to historians to data cleansing, visualization, modeling, and calculations.

This is Seeq’s application for engineers and managers to assemble and disseminate Seeq analyses as reports, dashboards, and web pages. The platform's “Topics” may include text, images, scorecard items, and analyses generated in Seeq Workbench like trending displays, scatter plots, bar charts, etc.

This is an application for data scientists and process engineers to access Python libraries. Engineers can use it to expand their Seeq analytics efforts, and data scientists can participate directly in industrial analytics by using it for data access, cleansing, modeling, and other needed features.

Workbench, Organizer, and Data Lab are powered by Cortex. It enables Seeq calculations at scale, data connectivity, and administration features. Cortex runs ideally as a SaaS (Software as a Service) application on Amazon Web Services (AWS) or Microsoft Azure. Any connected data sources can be on premises, in the cloud, or a hybrid and of different kinds: time series, contextual (SQL) and ad hoc (CSV).