Tie the dose to quality
Real-Time Prediction ties the dose to where quality is heading, updated every 30 seconds.
Real-Time Prediction →Chemistry, fiber, polymer and resin are set for the worst case because quality is confirmed late. ProcessMiner ties each dose to where quality is heading, so you cut the extra without putting quality at risk.
An alert tells you something’s wrong. Not what to do. So every shift estimates the correction from memory. PM Vector puts your best run for this grade on screen as a live target. When a variable drifts, operators see the exact setpoint to move to, on levers they control. The target retrains as you run, so your best crew’s settings become every crew’s standard.
Where the material goes
Underdosing shows up immediately, so overdosing becomes the operator’s safe default. Giveaway above spec spends fiber, polymer or resin the customer never pays for. Scrap and off-spec product spend it twice.
Single-deployment and pilot results, each measured against that plant’s own baseline and labelled with its industry. Results vary; past performance is not a guarantee of future results.
How it works
Real-Time Prediction ties the dose to where quality is heading, updated every 30 seconds.
Real-Time Prediction →PM Vector holds dosing and setpoints at your best run, grade by grade.
PM Vector →Autonomous Optimization can automate the dose within limits you set. Open loop comes first.
Autonomous Optimization →~1,600 lbs of chemistry saved in one week on one paper machine, with closed-loop control on 32% of the time.
PM Vector: your best run vs. the live run, with the setpoint to move. See PM Vector →
By industry
Chemistry and fiber are the levers. Fiber is ~50% of production cost (industry benchmark).
~$1M cumulative savings, one paper machine, 12 months
Basis-weight giveaway spends polymer, the largest single line in a nonwovens line’s cost of manufacture.
Every scrapped part throws away its resin, so cutting scrap cuts the resin behind each good part.
Free Data Health Assessment
Start with a free Data Health Assessment. We’ll take a closer look and let you know exactly what your own data can do.
Needs 6–12 months of process history with timestamped lab results.
Questions, answered
Get in touch
Whether it's our platform, your process, or a free Data Health Assessment you'd like to start, let us know.