Seeq

Learning Objectives

• Understand what Seeq does and the challenge of process sensor data
• Evaluate how Seeq's AI assistant speeds up data analysis
• Assess where Seeq fits for engineers working with plant data

What Is Seeq?

Seeq is an American industrial-analytics company whose software helps engineers make sense of the enormous streams of time-series sensor data that process plants generate. A refinery or chemical plant records temperatures, pressures, flows, and dozens of other measurements every second across thousands of points; the hard part is turning that flood of numbers into a clear answer to a specific question — why did yield drop last Tuesday, or which heat exchanger is fouling.

Seeq connects to the data historians plants already use, such as the PI System, and gives engineers a fast, interactive environment to investigate, model, and monitor operations without writing code or wrestling with spreadsheets.

How AI Changes the Workflow

Seeq added generative AI through the Seeq AI Assistant, which lets engineers ask questions and build analyses in natural language — describing what they want to find rather than constructing each calculation by hand. This lowers the barrier for engineers who know their process deeply but are not data scientists, and speeds up the back-and-forth of investigating a problem.

In 2025, Seeq extended beyond single-plant analysis with Seeq Vantage, aimed at monitoring operations across an enterprise. Independent industry analysts have named Seeq a leader in industrial AI analytics, reflecting how widely it is used to turn raw plant data into decisions.

Who Uses Seeq?

Seeq is used across the process industries — chemicals, oil and gas, pharmaceuticals, food and beverage, and more — by process engineers, reliability teams, and subject-matter experts. Its strength is empowering the people who understand the process to analyze it themselves, rather than handing data off to a separate analytics group.

Company Details

Strengths

• Built for process data — fast, interactive analysis of messy time-series sensor data
• Natural-language AI — the AI Assistant lets engineers investigate without coding
• Works with existing data — connects to the historians plants already run
• Empowers experts — the people who know the process can analyze it directly
• Recognized leader — widely adopted across the process industries

Limitations and Considerations

• Analytics, not control — Seeq surfaces insight; it does not run the plant
• Data-quality dependent — results are only as good as the underlying sensor data
• Subscription software — enterprise pricing aimed at industrial teams
• Complementary tool — typically sits alongside historians and control systems

Pricing

Seeq is sold as an enterprise subscription, with pricing based on deployment scale and the number of users. There is no public list pricing. Contact Seeq for a quote.

Key Takeaways

• Seeq is advanced analytics software for the time-series sensor data that process plants generate
• It connects to existing historians and gives engineers a fast, code-free way to investigate and monitor operations
• The Seeq AI Assistant adds natural-language analysis, and Seeq Vantage (2025) extends monitoring across the enterprise
• It is a de facto standard for turning raw plant data into insight across chemicals, oil and gas, and pharma