Industrial analytics company Seeq has launched Seeq Intelligence, a new platform designed to bring AI-driven decision making to the heart of industrial operations, aiming to help companies act faster, cut inefficiencies, and scale expertise across the enterprise.

 

The announcement marks a major step in the growing use of Industrial AI, as manufacturers and energy companies grapple with rising operational complexity, workforce turnover, and critical expertise locked away in siloed systems and individual experience.

 

According to Seeq, the new platform delivers “decision intelligence” by combining real-time operational data with institutional knowledge, domain expertise, historical decisions, and prior actions. The result is an AI-powered engine designed to help companies make faster, more informed operational decisions while improving efficiency, margins, and long-term performance.

 

At the core of the launch is a push toward “intelligence-led operations,” where AI continuously learns from operational data and accumulated expertise to guide both daily execution and strategic decision-making.

 

Seeq says the platform can surface hidden opportunities, highlight high-impact decisions, and recommend actions that improve operational outcomes. Over time, the system evolves into a learning engine that helps organizations tackle new challenges while preserving hard-won expertise across teams.

 

Seeq Intelligence introduces a suite of agent-based AI tools designed to automate analysis, uncover insights, and accelerate operational workflows.

 

The flagship capability, Agent Q, functions as a natural-language AI analyst trained to understand industrial environments. The tool can analyze historical operational events, past analyses, documents, and expert knowledge to generate investigations, insights, and prioritized actions.

 

The platform also allows organizations to build their own AI agents, enabling teams to create custom workflows that automatically retrieve data, run analytics, and produce repeatable outputs such as reports, summaries, and automated responses to operational triggers.

 

Another feature, Agent Extensibility, enables Seeq’s AI agents to connect securely with other enterprise systems. This allows users to pull in additional context—such as work orders or recent operational data—and trigger workflows or automated actions across systems without leaving the platform.

 

The platform also includes Document Access, which can extract insights from unstructured materials such as manuals, reports, procedures, and past analyses, turning them into searchable, contextualized intelligence.

 

Company executives say the goal is to preserve and scale industrial expertise while dramatically accelerating the speed of decision making.

 

“Seeq Intelligence represents a step change in how industrial companies create value,” said Mark Derbecker, Chief Product Officer at Seeq. 

 

“By synthesizing context, history, and irreplaceable domain expertise with patented advanced AI, we’re giving organizations a continuously learning system that sharpens decision making and accelerates operational transformation. It’s about helping customers compete — and win — in a world where speed, insight, and adaptability define future leaders.”

 

Industry analysts say the launch reflects a broader shift toward agent-driven AI platforms in industrial software.

 

“Seeq Intelligence is a notable step forward in the fast-moving Industrial AI ecosystem,” said Matthew Littlefield, President and Research Lead at LNS Research. “Agent Q can reach across the broad stack of operational technologies, incorporate the expertise and context contained in Seeq, and provide the agentic layer needed to change the speed, quality, and strategic priority of decisions.”