PLANT RELIABILITY.
Equipment Faults + Process Anomalies
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PlantOS™ Prescriptive AI.
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3 outcomes in 1 prescription — zero guesswork.
Implementation Rate
FROM NOISE
TO OUTCOMES.
Mechanical Faults
Vibration, wear & bearing degradation
Physics + AI models detect bearing defects, rotational looseness, and lubrication failure across Debourbage gearboxes, Gneuss Polymer Melt Gearboxes, and Calender Roll drives before they cascade into unplanned downtime.
Electrical Faults
Motor overheating & drive anomalies
Temperature trend analysis at motor bearings surfaces cooling failures and load imbalances before they trip compressor drives or extruder motors across PET, fibre, and acid production lines.
Process Induced Faults
Parameter drift &
production deviation
Continuous monitoring across pumps, compressors, extruders, debourbage, and conveyor systems detects process shifts before they cost tons of production across recycling, fibre, and mining operations.
1,199 sensors. 38 areas. One Single Source of Truth.
How Indorama unified 14 plants — 284 critical assets across acid, chemicals, petrochemicals, and mining operations — into a single contextualized source of truth.
Contextualization layerPhysics + AI: precision that predictions can't match
PlantOS™ doesn't flag anomalies. It traces root cause — across mechanical, electrical, and process domains — with 99.46% prediction accuracy and only 3 missed faults.
Intelligence layerDiagnostic → Recommendation → Action
331 prescriptions acted upon. 90% implementation rate. Real Diagnostic Reports with specific corrective steps — not dashboards, not alerts. Work orders that close.
Prescriptive engineOutcomes the plant's own engineers signed off on
862 hours of unplanned downtime recovered. 277 breakdowns avoided. 98 Hrs MTBF achieved. All figures from Indorama's own Maintenance & Operations teams.
Validated outcomesPrediction
≠
Outcomes.
Most AI deployments stop at the alert. They predict. They visualize. They dashboard. But prediction without a closed loop is just a more expensive alarm bell.
Indorama’s deployment with PlantOS™ proves the gap isn’t in the model — it’s in the mile between insight and action. The 99% Trust Loop™ is what bridges it.
Collaboration is the way to grow together. You can’t have all the capabilities to build by yourself — no need. Leveraging expertise from outside, like Infinite Uptime for prescriptive maintenance and AI-driven reliability, and develop only what’s truly required without escalating maintenance costs.
Mr. Rajneesh Ojha
Fibres Global MTC Lead, Indorama Ventures
GET THE COMPLETE PICTURE.
The numbers above are the headline. The full story reveals the real challenges Indorama faced — reactive maintenance cycles, hazardous operating environments, and reliability at multi-continent scale — and exactly how PlantOS™ flipped the script, delivering user-validated outcomes at every stage across every plant.
Real PlantOS™ Diagnostic Reports from live Indorama deployments
Equipment-level fault detection across mechanical, electrical & process domains
The 99% Trust Loop™ framework — step by step
User-validated outcome data, confirmed by Indorama's own maintenance team.
Infinite Uptime · 881 plants · 26 countries · Production Outcomes. Delivered.
Thank you for your interest in
PlantOS™ Prescriptive AI.
Enter your official work email to unlock specs delivering
3 outcomes in 1 prescription — zero guesswork.
A PlantOS™ Transformation Story · Production Outcomes. Delivered.
