Seeq Analytics

Seeq is an industrial analytics, AI, and enterprise monitoring platform built for engineers, operations teams, and data scientists working with time-series process data. Its browser-based applications include Workbench for analysis, Organizer for reporting, Data Lab for Python workflows, and Vantage for monitoring large numbers of assets and operational events.

1. Industrial analytics: Seeq Workbench provides no-code and low-code tools for cleansing data, defining operating periods, performing calculations, modeling behavior, making predictions, and investigating equipment or process performance. Its Formula language adds more advanced transformations and calculations when point-and-click tools are not sufficient.
2. Reporting and enterprise monitoring: Organizer turns Workbench analyses into interactive dashboards and reports that can update with current data manually or on a schedule. Vantage provides a separate enterprise-monitoring workflow that aggregates conditions and events across large numbers of sensors and assets, helping teams triage and investigate predictive-maintenance issues, downtime, alarms, and other operational exceptions. Vantage requires additional licensing.
3. Industrial data connectivity: Seeq connects directly to historians, SQL databases, data lakes, and other industrial data systems through supported connectors and Remote Agents. Connected source systems remain authoritative: Seeq retrieves and caches their data for calculation and visualization rather than replacing the historian or creating a new system of record. Buyers should therefore evaluate connector availability, network access, source-system performance, latency, and data quality.
4. AI and Python workflows: Seeq AI Assistant includes agents for tasks such as writing formulas, performing analyses, creating Seeq content, assisting with reports, and automating repeatable multi-step workflows. Data Lab provides a JupyterLab environment with Python, the Seeq/Python library, machine-learning libraries, scheduled jobs, and custom analytics. AI availability is deployment- and license-dependent: the current AI Assistant is offered to eligible SaaS customers, while capabilities such as Agent Q and custom Agent Builder workflows require Seeq Intelligence licensing.

Seeq is most relevant to industrial organizations that already hold substantial process and asset data in historians or other operational systems and want engineers to analyze that data without repeatedly exporting it into spreadsheets or separate analytics silos. Its value depends on data connectivity, engineering adoption, monitoring scale, licensing requirements, and whether faster analysis and exception-based monitoring can materially improve operational decisions across assets and plants.