Seeq Corporation
 | This article contains promotional content. (December 2017) |
 | |
| Company type | Private |
|---|---|
| Industry | Software |
| Founded | Seattle, Washington (2013) |
| Founder | Steve Sliwa |
| Headquarters | Seattle, Washington , United States |
Key people |
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Number of employees | 102 (April 2019) |
| Website | seeq.com |
Seeq Corporation is a software company, founded in 2013 and headquartered in Seattle, Washington, United States.[1] Seeq provides analytics software to various industrial process manufacturing sectors, including pharmaceutical, oil and gas, mining, pulp and paper, energy, utilities, IIoT, and chemicals.[2][3][4][5] Seeq's browser-based software is designed for use with time series data, which is most often aggregated in data historians such as OSIsoft's PI system, Inductive Automation's Ignition system and other similar data historians such as Emerson's Ovation and DeltaV, GE Proficy, Honeywell's Uniformance PHD, Wonderware, and AspenTech IP.21, as well as many others.[6][7]
Seeq's applications allow organizations to analyze their data to improve business outcomes.[3] Workbench, one of Seeq's applications, includes data visualization, data modeling, and interactive tools for diagnostic, monitoring, predictive, and descriptive analytics.[8] It also includes Google-like search, knowledge-capture, and collaboration tools. Seeq Organizer facilitates the creation of documents, consolidating analyses and visualizations into reports, presentations, and meeting agendas. Documents created in Organizer directly link to the underlying data. They are also 'time-relative', meaning they can be categorized based on parameters like batch, shift, or day. Seeq Runtime performs continuous data cleansing, boundary management, and streaming calculations on historian data. The runtime, which is accessed through either Seeq Workbench or the Seeq REST API, runs autonomously and may be integrated with existing alarm systems or dashboard solutions.
Seeq can be swiftly set up, with installations on a dedicated server, server cluster, or virtual machine possible in just an hour. On-premise installations on the same network as a plant or enterprise historian, on the cloud (Microsoft Azure, Amazon Web Services, etc.), or on a mixed environment of on-premise and cloud resources are supported. Seeq is extensible through data export, data integration, and a REST API for creating custom templates and modules. Data export options include Microsoft Excel and PowerPoint, and any OData client (Tableau, Microsoft PowerBI, etc.). Data integration with OSIsoft Vision is supported, and the REST API has SDKs for programming in C#, Python, MatLab, and Java. Unlike some systems, Seeq doesn't duplicate data from its original source. Rather, Seeq uses a connector that retrieves data in real-time, based on user actions. Seeq securely stores all documents, including workbooks, worksheets, topics, and search definitions, ensuring easy access and sharing for users.
References
- ^ Seeq raises $6 million, looks to help manufacturers mine industrial data. GeekWire. Retrieved 2017-10-18.
- ^ Creating Value from Data Assets. Pharmaceutical Manufacturing. Retrieved 2017-10-18.
- ^ a b Remotely analyzing gas processing data. ISA.org. Retrieved 2017-10-18.
- ^ Harness big data to achieve big gains. Control. Retrieved 2017-10-18.
- ^ IIoT optimizes evaporative cooling. Control Engineering. Retrieved 2017-10-18.
- ^ “Seeqing” Out New Manufacturing Intelligence Methods. AutomationWorld. Retrieved 2017-10-18.
- ^ Leveraging big data to streamline plant operations. Control. Retrieved 2017-10-18.
- ^ Leveraging Data Analytics Innovations to Improve Process Outcomes. BioPharm International. Retrieved 2017-10-18.