25%
Less chemistry
Wet-strength dosage reduction, measured over 12 months on a single paper manufacturing line.
Real plants. Real results. Reference-checkable.
The platform is trusted on the floor at over 20 major paper manufacturers — and C-suite buyers rely on it today.
Trusted on the floor at leading manufacturers
Land and expand — a client story
From one machine to 20. From open-loop to full autonomy.
One of our clients, a leading pulp & paper mill, represents the full ProcessMiner journey. They started with a single machine in open-loop advisory mode. As operator confidence built and results compounded, they expanded. Two years later, they run approximately 20 machines in autonomous control.
That's not a deployment — it's a transformation, earned one proof point at a time.
- Open-loop advisory first; closed-loop control added only as trust was earned
- Operators stayed in control at every stage of the ramp
Case study Pulp & paper mill
~20
Machines in autonomous control
Scaled over time
2 yrs
Trust ramp to full autonomy
At the customer's pace
>20%
Quality variability reduction
Pulp & paper deployments
$2.4M
Value per machine, per year
Per machine
Results from a client deployment. Actual results vary by facility, process, and data quality.
Across the industry
What manufacturers actually measure.
Every figure below comes from a real deployment, measured against the plant's own baseline. No industry averages, no projections.
63%
Better target adherence
Versus operator-only baseline. Tighter, more consistent quality across grades.
23%
Less variation
Process variability reduction, measured across full production runs — not isolated events.
$1.5M
Cumulative savings
A 12-month result from a single deployment.
13→20%
Sludge cake dryness
Dewatering improvement from 13% to 20% cake dryness. Wastewater deployment.
~1,600 lb
Chemistry saved in one week
Achieved at only 32% autonomous mode usage.
Our measurement standard
We measure against your baseline, not ours.
A result only counts if it holds up against how your process ran before the platform. Here's how every outcome on this page is generated.
Compared to operator baseline
Results are always measured against how your process performed before the platform — on the same equipment, with the same operators.
Tracked continuously
Predictions update every 30 seconds. Results are not snapshots — they compound over time as the models improve.
Specific to your process
There are no industry averages or benchmark assumptions. Every outcome is generated from your plant's own historical data.
See your results
Prove it on your data.
Start a pilot on two of your manufacturing lines. We'll validate prediction accuracy, root-cause precision, and time-to-value against your actual process. You keep the results whether you proceed or not.
Already seen the platform in action? If you're ready to start a pilot, click below.
Request a PilotLive dashboard in hours. Results in less than two weeks.