Seeq addresses the challenges of continuous and batch process manufacturing analytics by leveraging software and data management innovations.
All Seeq capabilities are accessible via a REST API for industry-specific templates and third-party products.
Seeq Workbench is a browser-based application for the visual and intuitive investigation of time series data. Seeq Workbench provides data visualization tools such as trending, charting, and grids, as well as innovative Visual Search and Capsule capabilities.
Seeq Organizer is a browser-based application to assemble analyses and visualizations into reports, presentations, and meeting agendas. Documents are dynamic because they tie directly to the underlying data, and are “time relative” so they can be defined by any batch, shift, day, etc.
Seeq Server is the application server for Seeq Workbench and Organizer. Seeq Server may be run on a desktop system, a server, or to provide additional scalability, reliability, and storage capacity may be scaled out across multiple server nodes, and deployed either on premise or in the cloud.
Seeq is highly extensible with data export, data integration, and a REST API. Data export options include Excel, PowerPoint, and any OData client (Tableau, PowerBI, etc.). Data integration with OSIsoft PI Vision is also supported. To create custom applications and templates the Seeq REST API has SDKs for programming in C#, Python, MatLab, and Java, with additional languages coming soon.
Connect data historians, sources, and silos
No matter where your data is or how it’s stored - on premise or in the cloud, in a historian or a data lake - Seeq can connect to it without ETL or duplication. For more information see our complete list of supported data sources which includes Microsoft SQL Server, MySQL, and Oracle so you can integrate data from production and business systems.
Seeq may be set up and run on a dedicated server, server cluster, or virtual machine in less than an hour, depending on the tag count. On-premise installations are typically on the same network as a plant or enterprise historian; Seeq may also be deployed in the cloud (Azure, Amazon Web Services, etc.), or a mixed environment of on-premise and cloud resources.