Prediction ≠ Outcomes.
Purpose-built Prescriptive AI for every
Plant Reliability need.
We tell your operators exactly what to fix — before it breaks.
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
The Vertical AI Platform for Heavy Manufacturing. Closed-loop by design: prescription, action, validated outcome
Equipment-specific AI that fuses mechanical and process signals into prescriptions your operators validate — and act on. Not dashboards. Not alerts. 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
Our Customers Speak
Trusted by the world's heavy industry leaders
Equipment degrades mechanically.
Process conditions make it fail faster.
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 Paradox That Slows AI Adoption
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
Real results, real sites, real validation — from the operators who signed off.
India & USA
- 36108 Hrs. Downtime Eliminated · 139 plants
"With Infinite Uptime we’re not monitoring equipment anymore; we’re enabling AI-assisted decision-making from work order creation through execution."
Mr. Alec Glenn, Vice President of Reliability, JSW Steel
USA & APAC
- 99.46% Prediction Accuracy · 14 plants
"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
Mexico
- $46,245 annual maintenance savings · 100% prediction accuracy
"PlantOS™ has consistently been very helpful. Its precise vibration alerts and clear prescriptive recommendations have enabled us to act quickly and prevent major downtime."
Mr. Carlos Guzman, Banbury Mixers Area Maintenance Supervisor, JK Tornel
India
- 3X ROI in Under 12 Months
"The ability to detect issues early has not only helped us avoid costly downtime but also built confidence in our operations."
Mr. Gaurang Kamat, Head Engineering, Sesa Goa, Vedanta Group, India
Saudi Arabia
- 9X ROI in Under 6 Months
"Our team is no longer running from one breakdown to the next. We now start our day with a prioritized list from the system, telling us which machine needs attention. The system is amazing."
Mr. Alaa Farrag, Maintenance Manager, SPCC
India
- 3,210 Hrs Downtime Eliminated · 27 plants covered
"Infinite Uptime has improved our plant reliability and helped us avoid surprise breakdowns. The real-time alerts allow us to act early and plan maintenance systematically."
Mr. Ramesh Dham, Digital Manufacturing Head, Coromandel International
