Prevent Costly Downtime Across Steel Operations Before It Occurs
Prescriptive AI powered by the 99% Trust Loop, helping steel plants turn early fault detection into action and user-validated reliability outcomes.
- Detect mechanical and electrical faults weeks before failur
- Receive clear maintenance prescriptions, not raw alerts or dashboards
- Track whether corrective actions were executed and resolved the issue
- Protect throughput, asset health, and production continuity
“We needed a partner willing to co-innovate on our most difficult problems. With Infinite Uptime we’re not monitoring equipment anymore; we’re enabling AI-assisted decision-making from work
order creation through execution.”
-Alec Glenn, Vice President of Reliability, JSW Steel[contact-form-7 id=”0c22a87″ title=”Contact Form 2025″]
The Steel Reliability Challenge
Steel plants operate under extreme heat, heavy loads,
and continuous production pressure.
Most condition monitoring approaches stop at alerts or
analytics, leaving teams to interpret data under time
constraints.
This gap leads to preventable downtime, asset damage,
and lost production value. 
The 99% Trust Loop™
From Insight to User-Validated Outcomes
Infinite Uptime operates on the 99% Trust Loop™,
a closed-loop reliability framework
designed to
ensure reliability insights lead to action and actions lead to confirmed results.
Prediction
Early fault detection using
AI and physics-based models
Prescription
Clear, actionable
maintenance guidance
Action
Execution by
plant teams
Validation
Outcomes confirmed
and user-validated
Across deployed sites, Infinite Uptime achieves approximately 99% prescription implementation,
giving steel teams confidence that reliability decisions do not stall.
Built for Steel Assets
- Rolling mill
- Furnaces and reheating unit
- Motors, gearboxes, and bearings
- Conveyors and material handling
- Fans, pumps, and compressors
All monitored continuously in real operating environments.