Batch Reporting

Make every batch your best batch

Some batches are simply too expensive to fail. Some run on razor-thin margins. Others are notoriously hard to control (read Fermentation). Factry connects production and process data in real time, helping manufacturers detect deviations early and move closer to the golden batch. Compare every batch to your best-performing one in real-time. Reveal where variability starts and how to eliminate it.

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Solution

Unlock insights hidden in your batch data with an open data foundation

Go from unexplained variability to consistency, batch after batch

Compare batch sub-steps to understand variation

Factry lets you set up child events with the parent batch events. Easily filter and compare, for example, the temperature curve during Step 2 across the last five runs for batches using Recipe A.

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Find your Golden Batch and actively steer towards it

Factry lets you lock your best batch and use it as a reference point to steer towards in real time. Just overlay it against current or past batches and reduce costly bad batches.

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Track CIP for predictable cleaning times

With Factry, you can treat Cleaning-in-Place as a time-bound batch event with sub-steps. Compare cycles, spot outliers, and reduce unpredictable downtime.

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Pain points

No visibility into batch data

Rising energy prices and hidden energy costs

Volatile macroeconomic situation are causing energy prices to rise. All the while, there are energy savings hidden in your data that you cannot access.

Similar batches, differing utility usage

Energy, water, compressed air, steam, gas and other utilities usage and costs are often monitored in isolation and not linked to the processes themselves. So any differences are difficult to explain.

Compliance and sustainability reporting

Having to go searching for the numbers every time for sustainability reports or for compliance with energy usage mandates can be painful. Without a shared version of the true numbers, there's no way to know if they're accurate.

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Catching batch deviations too late

Most operators can only react after a complaint comes in from the supermarket of a faulty batch. There's no way to catch deviation in real time.

Manually digging through batch data in Excel

Analysts will spend hours pulling data from different places, aligning it, and trying to then spot where process parameters diverged.

A bad batch is extremely costly

Bad batches in specialty chemicals and pharmaceutical industries can cost hundreds of thousands of euros to discard. With no root cause visible, there's no way to prevent that in the future.

Factry: An open industrial data foundation

The single source-of-truth for all your use cases...starting with Batch Comparison

The lack of batch insights starts in structural data. The data lives in MES, SCADA, Excel, and BI. So data is being monitored, but is scattered and exists without context.

Without structured data, batch reporting and comparison is incredibly time-consuming to put together, even for IT and data engineers.

That's what Factry brings for your industrial data: structure, context, trust.

MCP server

Ask questions to your data

Factry’s built in MCP server connects your data to AI tools your team already uses. This allows anyone on your team to ask questions in plain language and get answers right away.

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Documentation

Set up Factry for batch comparison on your own

Go through this step-by-step guide to set up Factry Historian and your first energy monitoring dashboard. Need more help setting it up? Just contact us.

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Factry in action

Discover success stories from factories like yours.
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Discover some of our most popular stories.
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Put your industrial data to work

Ready to get started with Factry? Awesome! Let’s schedule a call so you can discover how our platform empowers your operations.

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