Infinite Uptime

Infinite Uptime develops PlantOS, a prescriptive AI platform for heavy manufacturing that converts equipment and process data into specific maintenance prescriptions. Where predictive tools flag that equipment may fail, the platform is positioned to tell operators which fault to fix, why, and by when, and then captures operator validation of whether the prescription worked so that feedback trains subsequent models. The company describes this closed feedback cycle as the "99% Trust Loop": accuracy produces operator trust, trust drives action and work orders, actions yield captured outcomes and tagged data, and that labelled signal improves the models.

The product line is organized into four offerings: AI Shields, described as the flagship, comprising equipment-specific domain AI for kilns, mills, cranes, furnaces, mixers, extruders and dryers that targets faults where process conditions induce or accelerate mechanical failure (thermal fatigue, material build-up, cyclone jamming, oil contamination, gear-mesh backlash), using a dynamic FMEA method; critical equipment reliability for assets with high surface temperatures (around 150 °C), ultra-slow speeds (around 2 RPM) and harsh environments; standard equipment reliability with flexible, fast-install deployment; and non-critical / balance-of-plant monitoring using self-powered wireless sensors that require no gateways. Coverage spans nine verticals. The platform distinguishes equipment-borne degradation modes (bearing wear, unbalance, misalignment, looseness, cavitation, resonance, lubrication degradation, gear-mesh anomalies) from process-induced modes (kiln ring formation, thermal overstress, cyclone coating buildup, ladle heat profile drift, hot-strip thermal fatigue, wet-end web tension drift, coupling thermal loads, roll thermal overload), with 20+ modes cited in each category.

Data inputs include sensors and equipment data, oil analysis, inspection data, and process data from PLC and historian systems. Deployment is presented as additive to existing systems rather than a replacement, following a 90-day path: solution deployment and baseline assessment in weeks 1-2 with full equipment coverage from day one, a first prescription and operator validation workshop in weeks 3-4, additional lines and process efficiency modules in month 2, and plant-wide rollout with a board-ready ROI report in month 3.

Business model

PlantOS is delivered as "Production Outcomes as a Service," with results validated and signed off by plant operators and reported through the PlantOS Digital Reporting System.

Traction

The company reports 1,000 plants digitalized globally and 167,837 hours of unplanned downtime saved as of August 2026, including 36,108 hours saved in the steel vertical in India and the USA. Named customers cited in testimonials include JSW Steel (USA and Dolvi, India), Indorama Ventures, Tornel Tyres, Silgan Whitecap, Vedanta Sesa Goa, Tata Steel Thailand and Coromandel International. PlantOS is rated 4.5 out of 5 on Gartner Peer Insights.