Chemistry overdosing
Chemistry overdosing Wet-strength chemistry is expensive, and overdosing is the operator's safe default because the penalty for underdosing is immediate. The platform removes that trade-off with precise, quality-linked dosing.
Built in pulp & paper. Proven by the names you know.
Over 20 major paper manufacturers run ProcessMiner today. This is our home vertical: every model, every outcome metric, and every deployment method reflects two decades of learning on paper machines.
Trusted on the floor at leading manufacturers
What a paper machine is up against
Three problems that show up on every mill's P&L
Every mill knows these numbers. The question is whether the process finds the problem, or the problem finds the process.
Grade changes
Grade changes A mill running 5 to 40+ product grades faces model-breaking variation at every transition. Built-in grade logic switches limits and models automatically, so the picture never resets to zero.
Delayed quality feedback
Delayed quality feedback Lab results can lag production by 45 to 60 minutes, so a roll is often already underway before operators know the last one drifted. The platform predicts quality trends during the run, closing the gap between production and feedback.
What the platform delivers on a paper machine
The same three capabilities, tuned by two decades of paper data
01 / Every 30 seconds, by grade
Real-time quality prediction
Grade-specific models predict quality every 30 seconds, so the team sees where basis weight, strength, or moisture is heading well before the lab can report it.
- Manages 5 to 40+ grades without manual reconfiguration
- Recommendations every 15 minutes, only when the trend is out of bounds
Approved visual needed
02 / The golden run
Intelligent Centerlining™
Centerlining compares live production against your machine's best historical runs and tells operators exactly how much to adjust specific controls, keeping key variables on target straight through grade transitions.
- Quantified setpoint guidance: a precise amount, not a vague alert
- Distinguishes what operators can control from what they can't
Approved visual needed
03 / When quality breaches a limit
Root cause analysis
When a prediction crosses a grade limit, the platform narrows 2,000 to 4,000 machine tags down to the 10–15 most likely causes, ranked by influence. Engineers start from a shortlist, not a historian dump.
- Ranked by deviation severity and relative importance
- Filters redundant signals so the team acts on what matters
Approved visual needed
Land and expand: a client story
"One of our clients, a leading pulp & paper mill, started with one machine in open-loop advisory mode. As operator confidence built and results compounded, they expanded. Roughly two years later, about 20 machines run in autonomous control."
Trust earned one proof point at a time, not claimed overnight. Read the customer results →
25%
Less chemistry
Reduced wet-strength dosage
63%
Better target adherence
vs. operator baseline
23%
Reduced variation
Tighter, consistent quality
$2.4M
Value per machine, per year
Measured deployment result
Figures reflect actual ProcessMiner deployments in pulp and paper. Results vary by facility, process, and data quality; past performance is not a guarantee of future results.
Why ProcessMiner in pulp & paper
Built for how mills actually run
Mill-level deployment
Mill-level deployment Mills operate semi-independently. We work with mill-level decision-makers, not just corporate IT, so a deployment doesn't wait on an enterprise program.
No rip-and-replace
No rip-and-replace Connects to your existing AVEVA PI or OSI PI historian in about 30 minutes. Nothing about your DCS or data pipeline has to change.
Operator adoption
Operator adoption The platform adapts to how your operators work. Recommendations arrive as specific, quantified adjustments they can accept, adjust, or override.
Knowledge preservation
Knowledge preservation As experienced operators retire, their process intuitions live on in the models and in PM AI Agent, available to every shift instead of leaving with them.
How implementation works
Start with proof. Scale on results.
Every new customer follows the same staged path: a free analysis of the data you already collect, then a 60-day pilot on live production. From there, you expand as the results earn it. You set the pace.
Pilot program
1
Start here
Free Analysis
Includes
- Offline PM Studio dashboard from your historical data
- Data healthcheck of what you capture today
- Findings reviewed with your team
2
Live Pilot
60-Day Pilot
Includes
- Live PM Studio dashboards on your process
- Real-time monitoring of trends and drift
- Prediction, root cause & centerlining
Enterprise license
3
Stage 1
Predict at scale
Everything in the pilot, plus
- Full deployment across your operation
- Annual assessment of value delivered
4
Stage 2
Guided action
Everything in Stage 1, plus
- Prioritized recommendations operators can act on
- PM AI Agent for plain-language answers
- Value capture tracking
5
Stage 3
Autonomous optimization
Everything in Stage 2, plus
- Closed-loop control writing setpoints back to your systems
- Trial vs. production analysis validating every change
Most teams enter at the Free Analysis, but you can step in wherever fits. How far you take it depends on where your operation is today.
Start with a Free AnalysisTalk to people who've done this before
Speak with someone who's deployed in pulp & paper.
We'll walk through how the platform applies to your machines, your grades, and your historian, then decide together whether a pilot makes sense.
Historian connected in ~30 minutes. Live dashboard in hours. Full deployment in under two weeks.
Get in touch
Have a question?
Whether it's our platform, your process, or a pilot you'd like to see in action, let us know.