Purpose-built Prescriptive AI for every Plant Reliability outcome.
PlantOS™ tells your operators exactly what to fix before it breaks. And validate.
Prediction ≠ Outcomes.
946
Plants Digitalized
Globally
157,115
Hrs. of Unplanned Downtime Saved
up to
99%
Prescriptions Acted
Upon
up to
10%
Less Maintenance Cost
up to
2%
Less Conversion Cost
up to
2.5%
More Throughput
*Note – Date as of June 03, 2026 Source – PlantOS™ Digital Reporting System – User-validated True Positives & False Negative Rate
PlantOS™ is Infinite Uptime's prescriptive AI platform for heavy manufacturing, delivered as Production Outcomes as a Service. Where predictive tools warn that equipment may fail, PlantOS™ tells operators which fault to fix, why, and by when. Operators validate whether the prescription worked, and that feedback sharpens the next one. It turns equipment and process data into validated production outcomes: less unplanned downtime, lower maintenance cost, and higher throughput.
AI Shields
Equipment-specific deep domain AI that catches the faults a generic model can't — where process conditions induce and accelerate mechanical failure.
Critical Equipment Reliability
Standard Equipment Reliability
Non-Critical Equipment Monitoring
Our Customers Speak
Trusted by the world's heavy industry leaders
Where Predictive AI Stops
What is the difference between equipment
failure and process-induced failure?
Degradation from the inside
Mechanical faults that develop within the equipment itself over time.
The PlantOS™ Difference
Generic AI stops at the mechanical signature.
Vertical AI contextualizes both — improving prediction coverage, accuracy, and explainability.
Stress from the outside
Operating conditions that accelerate equipment degradation.
The 99% Trust Loop
Each loop makes the next prescription sharper.
The Trust Loop is how PlantOS™ keeps improving. Accurate prescriptions earn operator trust. Trust drives action on the plant floor. Each action produces a validated outcome, and that feedback trains better models. Better models raise accuracy again. Every turn of the loop makes the next prescription sharper and the whole system more trustworthy over time.
How long does it take to
deploy PlantOS™Prescriptive AI?
The Path to Reliability Outcomes Your Operators Trust - in 90 Days
No
rip-and-replace — works with your
existing systems. First prescription in 2 weeks.
Scale with confidence.
Week 1-2
Solution Deployment
- 100% equipment coverage Day 1
- Rotating + static equipment + process context
- Baseline assessment complete
Week 3-4
First Prescription
- Operator validation workshop
- Digital signoff trained
- First fault prescribed
Month 2
Scale & Optimize
- Additional equipment lines
- Process efficiency modules
- KPI baseline established
Month 3
Plant-Wide
- Board-ready ROI report
- Expansion planning
- 99% Trust Loop complete
Ready to see your first prescription?
Book a discovery call. We'll model your specific equipment risk and ROI before you commit.
Operator Validated Outcomes
Validated on site and signed off by the operators who run the plant.
JSW Steel rolled PlantOS™ out across 139 plants in India and the USA and cut unplanned downtime 2X in under a year.
Read the JSW Steel story
Across 14 plants, Indorama Ventures caught developing equipment faults early with PlantOS™ and cleared them during planned shutdowns instead of forced ones.
Read the Indorama Ventures story
JK Tornel acted on PlantOS™ vibration alerts on its Banbury mixer line early enough to schedule repairs instead of absorbing a line stoppage.
Read the JK Tornel story
Vedanta Group used PlantOS™ to intervene on failing assets before they stopped production, converting avoided breakdowns into recovered output.
Read the Vedanta Group story
SPCC replaced reactive firefighting with a daily prioritized work order queue from PlantOS™ and fixed critical assets before they failed.
Read the SPCC story
With PlantOS™ live across 27 plants, Coromandel International planned maintenance around real asset health and took equipment down on its own schedule, not the failure's.
Read the Coromandel International storyEvery figure verified on site with the customer's maintenance team
Frequently Asked Questions
Explore common questions about PlantOS™, Prescriptive AI, equipment reliability, and operator-validated outcomes. Learn how Vertical AI helps heavy manufacturers prevent downtime and improve production performance.
01 What is prescriptive maintenance?
Prescriptive maintenance is the step beyond predictive maintenance. Instead of only forecasting that a machine / equipment may fail, it tells the maintenance team exactly which fault to act on, why it is happening, and what to do about it. PlantOS™ delivers this as a specific, validated instruction in a work-order prescription that an operator can act on immediately.
02 How is prescriptive maintenance different from predictive maintenance?
Predictive maintenance warns that equipment is likely to fail and roughly when. Prescriptive maintenance goes further and prescribes the exact corrective action, ranked by urgency and impact. PlantOS™ also captures whether each fix worked, so its recommendations become more accurate over time.
03 What is PlantOS™?
PlantOS™ is Infinite Uptime's prescriptive AI platform for heavy manufacturing, delivered as Production Outcomes as a Service. It reads both mechanical fault signatures and process-induced fault signatures to detect anomalies early, then issues clear prescriptions that tell operators what to fix, why, and by when. It is deployed across 946 plants in 26 countries.
04 Which industries does Infinite Uptime serve?
Infinite Uptime works across heavy manufacturing, including steel, cement, mining, paper and pulp, chemicals and fertiliser, tyre and rubber, food and beverage, pharmaceuticals, and energy and oil and gas. Its Prescriptive AI is tuned to the specific failure modes of each industry's critical equipment, standard rotating equipment, and balance of plant equipment – thus ensuring full plant coverage.
05 How quickly does PlantOS™ deliver results?
Most sites receive their first prescription within about two weeks of installation. Full validated outcomes, such as measurable reductions in unplanned downtime, typically follow within the first two to three months as the system learns each plant's equipment and process conditions.
06 How does PlantOS™ avoid false alarms?
Every prescription is validated by the operators who act on it. That sign-off confirms whether the recommended fix was correct, and the feedback trains the models to be more accurate. The result is a high rate of user-validated true positives rather than generic alerts.
07 What return on investment (ROI) do customers see?
Customers use PlantOS™ to reduce unplanned downtime, lower maintenance cost by up to 10 percent, and raise throughput by up to 2.5 percent. Because a single prevented outage can offset the cost of the platform, most deployments pay for themselves early.
