AI that's built for
paper mills
Every mill runs differently. Haber uses the mill's own process data to understand what is changing, where it matters, and what the operating team can do about it.
The mill changes faster
than the feedback
Furnish, grades and operating conditions keep moving. Operators have to make decisions with incomplete information, and by the time a lab result arrives, the damage may already be done.
Raw-material
variability
Wood, fiber and furnish quality change constantly, affecting pulp quality, chemistry and paper machine performance.
Grade
changes
Every paper grade change brings new operating targets, creating waste, instability and lost production.
Chemistry
overdosing
Uncertain process conditions drive pulp and paper mills toward higher dosing and excess chemistry.
Delayed
feedback
Lab measurements arrive after conditions have changed, leaving pulp and paper operators reacting too late.
So we built AI around the way paper mills actually work
The solution should feel like a direct response to the problems faced by your mill, built around how paper mills actually operate, not just another generic AI capability list.
Monitor pulp & paper processes with real-time data
Predict quality and paper breaks using AI
Optimise decisions with real-time AI recommendations
Present across the plant

Cooking Process Optimization
Washing Process Optimization
Pulp Brightness Optimization
& Utilities
MEE Operations Optimization
Recausticizing Process Optimization
Lime Kiln Process Optimization
Boiler Operations Optimization
Management
Water Treatment Optimization
WWTP Operations Optimization
Cooling Water / Boiler Water / Membrane
Treatment Optimization
Refiner Automation
Wet Tensile Automation
Wet-end Chemistry Optimization
Integrated Trim Optimization
CASE STUDIES
Real Results,
Proven Impact
TESTIMONIALS





