Haber
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Predict What’s Next.
Make Better
Decisions, Faster

Mt. Fuji connects your plant’s data and context so AI agents
can predict what’s next and help your team act.

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One Industrial Ontology Connecting The Plant

Mt. Fuji connects the data, relationships, and operating context behind your plant so AI can visualize, analyze, and automate with
the right context.

Visualize

See the plant in context

KPI Dashboard · Digital Twin · Trend Analysis

Analyze

Find why it happened

Root Cause · Exploratory · Golden Batch

Automate

Put insight to work

AI Operator · Lumen · Productivity Agents

Mt. Fuji knowledge graph connecting plant systems, processes, and operational context
MES
ERP
CMMS
Alarms
Historian
DCS/PLC

Structured

SOPs
Reports
Shift Logs
P&IDs

Unstructured

AI Assistance For Every Step From Understanding
To Action

Use AI to act with more confidence: let it predict what is changing, explain what it sees, suggest possible actions, and help your
team decide what to do next.

AI Operator

From Prediction To Action,
With Your Team In Control

AI Operator brings together Predict, Prescribe, and Control to help your team respond to changing plant conditions. Start with recommendations, build confidence, and introduce greater autonomy only when your team is ready.

  • Predict what is likely to happen
  • Prescribe what to do next
  • Gradually move toward controlled autonomy
Target KPI chart showing actual values, forecast, and control limitsAI Operator
Recommended action: adjust setpoint to 62.5, predicted impact +3.2%

Explainability

See Why AI Made The
Recommendation

Every recommendation is grounded in the plant context behind it — combining process and sensor data, events and history, asset and process relationships, and relevant operating knowledge to explain how AI arrived at its recommendation.

  • Explanation behind the recommendation
  • Relevant events and time relationships
  • Plant context, not just a model score

EXPERIMENT HUB

Test A Change Before
You Make It

Experiment Hub helps you explore operating choices against your plant model before applying them on the floor. See the likely effect on yield, energy, and process performance, then decide what makes sense.

  • Compare current vs. proposed conditions
  • See predicted process impact
  • Keep the decision with your team

LUMEN

With Lumen, Get All The
Answers From Your Plant Data

Lumen gives operators, engineers, and managers a natural-language way to investigate what is happening without searching through multiple systems and screens first.

  • Ask in plain language
  • Bring the relevant plant information together
  • Multi-lingual support

AI Agents For The Work Your Team
Does Every Day

Purpose-built agents help your team operate, investigate, understand, and optimize — using
the context of your plant.

Shift Handover

Turn every shift into a handover of events, risks, actions, and what needs attention next.

Root Cause Analysis
Dashboard Builder
Grade Change Optimization
Shift Handover
Root Cause Analysis
Dashboard Builder
Grade Change Optimization

See What Better Decisions Can Mean For Your Plant

~15%

yield improvement

50–60%

fewer unplanned stoppages

<6 Weeks

typical deployment

See Mt. Fuji in action across your plant

CASE STUDIES

Real Results,
Proven Impact

Case Study Background

CASE STUDIES

Real Results,
Proven Impact

Utilization of AI to Control Pulp Brightness in the BCTMP Pulping Process

Can eLIXA® optimize paper strengthening while driving down the production cost?

Kaiznn's Trim Optimization: Transforming Order Fulfillment through AI Excellence

Addressing microbial growth concerns through AI

AI for effective control of scale deposition on liquid ring vacuum pumps

Implementing AI to improve foam control in pulp mill washers

Haber's Strength Improvement Program: Optimizing WSR Consumption through the implementation of AI

Reducing Inconsistencies in the Internal Sizing Process

How Do We Optimize Foam Control for Paper Machines?

How Can Surface Sizing Be Optimized While Also Being Cost-Effective?

Improving Efficiency of Solid-Liquid Separation through AI

One of the largest specialty paper manufacturer in India reduces cost of raw material while improving quality

AI-Driven Cooling Tower Optimization for a Multi-Specialty Hospital

TESTIMONIALS

Hear what our customers have to say

Haber's automation solution helped us increase our production by 2%, reduced the chemical consumption by 20%, and improved the system efficiency.

—  Unit Head, One of India's largest Tissue manufacturers

Haber's smart system helped us increase our retention by 5%, reduced the raw-material consumption and improved the product quality.

—  Operations Head, Leading Board Manufacturer, India

With Haber's help we could reduce bacterial count to 5 CFU/mL, avoid unscheduled boil-outs and improve product quality.

—  Kraft Manufacturer, UAE Production Lead, A Leading Kraft & Packaging-Grade Manufacturer, UAE

Haber's smart system helped us maintain target brightness within the specified range, with minimal variability, and reduced the chemical consumption by 10%.

—  Pulp Mill head, One of top 5 Pulp Manufacturers, US

Haber's AI-driven optimization stabilized our refining consistency, reduced fibre loss, and improved sheet strength without increasing chemical usage.

—  Quality Manager, One of India's Leading Writing & Printing Paper Mills

Haber's continuous monitoring and control helped us bring down steam consumption, improve moisture uniformity, and achieve more predictable machine performance.

—   Mill Head, A Global Specialty Paper Manufacturer

Haber's automation solution helped us increase our production by 2%, reduced the chemical consumption by 20%, and improved the system efficiency.

—  Unit Head, One of India's largest Tissue manufacturers

Haber's smart system helped us increase our retention by 5%, reduced the raw-material consumption and improved the product quality.

—  Operations Head, Leading Board Manufacturer, India

With Haber's help we could reduce bacterial count to 5 CFU/mL, avoid unscheduled boil-outs and improve product quality.

—  Kraft Manufacturer, UAE Production Lead, A Leading Kraft & Packaging-Grade Manufacturer, UAE

Haber's smart system helped us maintain target brightness within the specified range, with minimal variability, and reduced the chemical consumption by 10%.

—  Pulp Mill head, One of top 5 Pulp Manufacturers, US

Haber's AI-driven optimization stabilized our refining consistency, reduced fibre loss, and improved sheet strength without increasing chemical usage.

—  Quality Manager, One of India's Leading Writing & Printing Paper Mills

Haber's continuous monitoring and control helped us bring down steam consumption, improve moisture uniformity, and achieve more predictable machine performance.

—   Mill Head, A Global Specialty Paper Manufacturer