TrendMiner

A compressor trips. Production stops. The post-mortem shows the warning signs were there weeks earlier, in the KPI trends, in a recurring event pattern, in suction pressure behavior that matched three previous failures. The €1M production loss was not inevitable. It just wasn't caught.

On July 1, Pablo Sanchez walks through a real refinery compressor dataset to show how to change that. He'll cover tracking performance and reliability KPIs over time, visualizing compressor events and uncovering the correlations behind recurring failures, identifying similar operating patterns across historical trips, and developing prescriptive troubleshooting recommendations from past failures. The session closes with predictive monitors, dashboards, and alerts you can deploy on your own assets.

Register at the link to join or receive the recording. July 1 at 16:00 CEST / 09:00 ET.

https://bit.ly/4ewrUjx

Have you ever found that the warning signs for a compressor trip were in the data weeks before it happened, but nobody had the analysis in place to catch them?

What does an industrial AI agent actually do? Not in the marketing sense — in the practical, day-to-day sense for process engineers and operators.

That's exactly what we'll walk through in our live webinar on June 25: watching the Analytics Agent reason across time-series data and return results you can act on. Root cause analysis. Pattern recognition. Monitoring setup. All from a prompt, or from the TrendMiner interface you already know.

One week left to register.
Register: https://bit.ly/4ur5g0M

What would be the first question you'd ask an industrial AI agent about your process data?

Today and tomorrow, we'll be at SmartWorX in Amsterdam!

The theme this year is smart manufacturing redefined. That framing resonates with us. A lot of manufacturers are sitting on years of process data with no practical way to ask it questions. That gap is closing, and the conversations happening at events like this one are part of why.

Come find us if you want to talk industrial AI, process analytics, or just what it actually takes to make data useful on the plant floor.

More information about the event: https://hubs.la/Q04lH0C20

TrendLab 2026 is coming to Eindhoven this September.

Two days at The Next Nature Museum (Evoluon), built specifically for process experts and TrendMiner users.
Day 1 is role-based training. Pick the track that fits: basic, advanced, project manager, or admin. Day 2 is peer-led use cases, with presentations from companies working through the same operational challenges you face.

You'll also get a first look at what's coming in the product roadmap, plus direct access to the TrendMiner team.

Early bird pricing (25% off) runs until June 30. Standard two-day tickets start at €449.

Register: https://bit.ly/3RKd14l

We're proud to share that our Solutions Engineer Aline Hüser will be speaking at SmartWorX 2026 next week.

SmartWorX brings together engineers, operators, and technology leaders from across the manufacturing world. Exactly the kind of audience that knows what it takes to move the needle on plant performance.

Aline will be sharing how process manufacturers are putting industrial analytics to work, not as a reporting layer, but as something process experts actually reach for when they need answers.

If you're attending in Amsterdam on June 18-19, stop by and say hello.
https://hubs.la/Q04lGVb_0

How long does it take for a fouled heat exchanger to cost €500K? Longer than it looks on any single shift report, and usually shorter than most fixed maintenance intervals catch.

In a preheat train, fouling builds gradually. The U Coefficient drifts, heat transfer degrades, and fuel consumption climbs while operations continue normally. Next week, Pablo Sanchez walks through a real preheat train dataset to track that drift and catch it in time: U Coefficient monitoring with Tag Builder, Event Analytics for cleaning cycle detection and performance comparison, scatter plot analysis for economic evaluation of the optimal cleaning window, and automated UCL/LCL control limits that remove the dependency on periodic manual review.

June 24 at 16:00 CEST / 09:00 ET. Register at the link to join or receive the recording.

https://bit.ly/4vGdjIj

What metric do you rely on most to judge whether a HEX cleaning is due?

Starts in one hour. Pablo Sanchez is walking through a live analysis of a real CDU fired heater dataset, showing how a 5% thermal efficiency loss builds up unnoticed in process data and what it takes to catch it before the costs compound.

Scatter plots, control limits, root cause tracing, and a replicable monitoring dashboard. A practical session from start to finish.

Join at 16:00 CEST / 09:00 ET. Register at the link below and we'll send you the recording if you can't make it live.
https://bit.ly/4ewnQ2Q

If you could catch that kind of loss three months earlier, what would it mean for your operation?

A 5% thermal efficiency loss in a fired heater barely registers on a single shift report. Spread across a full operating year, it quietly accounts for $500K to $1M in excess fuel costs.

Tomorrow, Pablo Sanchez, Industry Principal at TrendMiner, is working through a real CDU heater dataset live. He'll show how efficiency drift hides across months of historian data, how scatter plots and cross-correlations surface root causes like excess air and COT instability, and how to build UCL/LCL control limits from your own process statistics. The session ends with a monitoring dashboard you can replicate on your unit.

Not a product walkthrough. A hands-on analysis session with real data. Register at the link to join live or receive the recording. June 16 at 16:00 CEST / 09:00 ET.

https://bit.ly/3SeZGBf

What usually gives away a fired heater efficiency problem before it shows up in costs?

TrendMiner 2026.R2 is here, and we're walking through it live on July 2.

This release addresses three things that have been on customers' request lists for a while. Mobile dashboards put asset insights on the phones field teams already carry. Calculated tags now support 20 levels of nesting, up from 2, which changes how you can model complex plant hierarchies. And a new MCP Server connects TrendMiner's time-series data and analytic tools to the AI clients your organization already uses: Microsoft Copilot, ChatGPT, or Claude.

Join us July 2 at 4pm CEST / 9am CDT to see the full release in action.

Register: https://hubs.la/Q04lbfJw0

Which of these three would have the biggest immediate impact on your team?

TrendMiner is a G2 Regional Leader in EMEA for Time Series Intelligence, Summer 2026. This one belongs to our users.
Every badge on G2 starts with a customer taking the time to write a review. That's the only reason this recognition exists. Thank you.

https://bit.ly/4u8ypO7