PlantOS™ Case Study · Indorama Group
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floor
Physical AI, proven where plants run hot and hazardous.
From recycling lines in Thailand to
acid and mining units in Senegal, Indorama Ventures and
Indorama Corporation each act on prescriptions from Infinite Uptime’s PlantOS™. Every
figure on this page sits with the company it belongs to.
scorecards
PET, fibres, packaging, and hygiene
6plants digitalized
336hours of unplanned downtime saved
97.3%of prescriptions acted upon
Read the
Indorama Ventures story →
Fertilizers, acids, and mining chemicals
5plants digitalized
1,092hours of unplanned downtime saved
94.7%of prescriptions acted upon
Read the
Indorama Corporation story →
PET, fibres, packaging, and hygiene
Indorama Ventures started with a recycling plant in Thailand and took PlantOSTM into PET, fibres, packaging and hygiene.
Indorama Ventures started at its Nakhon Pathom recycling plant in 2023, with 110
sensors on equipment that wears quickly under constant mechanical load. The aim was to catch each fault
while there was still time to plan the repair.
The company has since digitalized six plants across Thailand, India, and the USA.
6plants digitalized
336hours of unplanned downtime saved
97.3%of prescriptions acted upon
2023first plant live, Nakhon Pathom
In their words
“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.”
All figures in this section belong to Indorama Ventures.
Fertilizers, acids, and mining chemicals
Where walk-rounds are hazardous, the crew goes in knowing the fault
and the fix.
Indorama Corporation’s PlantOS™ work began in 2024 at its
Purwakarta sites in Indonesia. In 2025, it extended to Indorama ICS Acid & Mining in Senegal, where
high temperatures and hazardous conditions make early fault detection essential.
Three Senegal sites account for 94% of the 1,092 hours saved. The ICS Mining Plant
alone contributes 792 of those hours.
5plants digitalized
1,092hours of unplanned downtime saved
94.7%of prescriptions acted upon
2024first sites live, Purwakarta
All figures in this section belong to Indorama Corporation.
The engine behind both
results
Prediction tells you what might fail. A prescription tells your team what to do.
Every PlantOS™ prescription has four parts. Reliability
engineers check each one before it reaches the plant, and operators confirm the result on the floor. That is
how Physical AI becomes an operator-validated outcome.
- 1
Observation
What the asset is doing, read from live data.
- 2
Diagnosis
Why it is doing it, and which component is responsible.
- 3
Recommendation
The specific action to take.
- 4
Operator feedback
Confirmation that the fix worked.
Prediction ≠ Outcomes.
Across both companies, 11 plants avoided 1,428 hours of unplanned downtime. Teams got
there by acting on 94.7% to 97.3% of prescriptions.
| Company | Sector | Plants digitalized | Hours of downtime saved | Prescriptions acted upon |
|---|---|---|---|---|
|
PET, fibres, packaging, and hygiene | 6 | 336 | 97.3% |
|
Fertilizers, acids, and mining chemicals | 5 | 1,092 | 94.7% |
Data as of 6 August 2026. Source: PlantOS™ Prescription Engine, user-validated true
positives and false negative rate. Indorama Ventures and Indorama Corporation are independent companies, and
the combined total is shown for scale only.
PlantOS™ prescribes, your
operators
confirm,
and
every fix sharpens the next.
Your first prescription lands in two weeks.