Introducing the Analytics Agent

Product News
2
min read
Written by
Rob Azevedo
Published on
March 12, 2026

Hasselt, Belgium / Houston, Texas, USA / Fulda, Germany – March 12th, 2026 – TrendMiner, a global leading provider of industrial self-service analytics today launches its Analytics Agent, bringing agentic AI to industrial process analytics for the first time.  
This secure and purpose-built addition to the platform fundamentally changes how engineers, operators and analysts interact with process data by moving beyond manual exploration to natural language-driven discovery with AI-driven insights and actions.

Industrial organizations operate in a world of growing complexity, with a shortage of engineers, an explosion of data captured with a gap between data availability and actionable insight.

TrendMiner Analytics Agent empowers organizations with a dedicated digital analyst that understands process data in context. It actively explores TrendMiner data from timeseries, asset and event data to uncover the most relevant operational insights by utilizing all of TrendMiner’s capabilities in search, statistics, event analytics, monitoring, reporting and more. The agent goes beyond simple visualization. By applying advanced analytical methods, reasoning and building repeatable routines, it identifies patterns that might otherwise be missed during manual review.

The benefits are clear, what makes the agent unique is its ability to communicate. Instead of requiring users to decipher complex charts alone, the Analytics Agent produces clear explanations, insights, and recommendations through natural language and integrated visuals. It helps explain the "why" behind process behavior and suggests specific steps for optimization.

For organizations, the Analytics Agent delivers proven industrial intelligence built on analytical methods refined over a decade of real-world manufacturing use, producing repeatable and trustworthy outcomes rather than generic AI guesswork. It democratizes advanced analytics across all expertise levels while ensuring best practices are applied consistently across every site and plant, eliminating the variability of manual, person-dependent analysis.

For engineers and analysts, the agent acts as an analytics companion that handles the heavy lifting of assembling data, running statistics, and surfacing relevant context, freeing up time for critical thinking and decision-making. Root-cause analysis that traditionally takes hours of manual exploration is dramatically accelerated as the agent autonomously pulls together relevant signals, contextual events, and statistics. Repetitive reporting is taken off the table entirely: engineers can let the agent generate production reports automatically, consistently, and without the risk of human error.

Industrial AI & Analytics, Anytime, Anywhere

TrendMiner’s decade-long obsession with performance and accuracy shines through to the agent with best-in-class performance and its optimized algorithms mean workflows are naturally token-optimized, thus cost efficient. This is particularly important for companies that want to bring their own LLM on top of TrendMiners MCP (Model Context Protocol) servers to remain fully in control of model, data sovereignty and cost structures.  

“This approach fits TrendMiner’s ongoing ethos of fitting into the ecosystem of our customers. Our platform does not exist on its own, and nor does our Analytics Agent. It works in harmony with internal agents and agents of other tools in a true agent-to-agent fashion.” says Julian Pereira, VP Product & Engineering at TrendMiner. It is a true statement of our vision to make data-driven decision-making with TrendMiner available: ‘Analytics, Anytime, Anywhere’.



Our journey towards a more autonomous future

The introduction of the Analytics Agent is a significant milestone in the journey toward a more autonomous future. By providing an agentic layer of intelligence, TrendMiner continues to bridge the gap between complex industrial data and the human expertise needed to master it.

We are onboarding customers at a rapid pace with TrendMiner Analytics Agent.  

For more information visit the TrendMiner AI page, go to www.trendminer.com or reach out to see a demo.

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Rob Azevedo
Head of Product Marketing
TrendMiner

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