Empowering industrial stakeholders (CFOs, COOs, Production Heads, Maintenance
Managers, Energy Managers, and more) with prescriptive AI insights for optimized
maintenance solutions, energy efficiency, and operational excellence.
India
Sri Lanka
UAE
KSA
USA
Korea
Mexico
Oman
Bahrain
Thailand
Malaysia
Vietnam
Turkey
Ghana
Philipinnes
Australia
Indonesia
Senegal
of Production Outcomes
with Advanced Sensing Technology
with Target Production Goals & Outcomes
through
Collaborative AI &
Human Expertise
using AI Powered Outcome Assistance
The steel industry relies on a complex array of critical equipment, from blast furnaces and rolling mills to continuous casting machines, requiring precise control and maintenance.
The cement industry depends on the smooth operation of critical equipment like rotary kilns, grinding mills, and preheaters, necessitating meticulous monitoring and optimization to ensure efficiency.
The core of pulp and paper production lies in the sturdy performance of vital equipment like digesters, paper machines, and recovery boilers, demanding unwavering maintenance to sustain profitability.
The metals and mining industry depends on critical assets like haul trucks, crushers, and conveyor systems operating at peak reliability. Advanced prescriptive maintenance is vital to predict failures early, optimize maintenance schedules, and sustain operational excellence.
The tire and rubber industry face the challenge of manufacturing a wide range of products while ensuring the optimal performance of critical equipment like mixers, extruders, and curing presses.
Chemical and fertilizer producers face a critical challenge in maintaining efficiency of vital assets like reactors, distillation columns, and granulators to ensure consistent product quality
In cost-sensitive industries like F & B, optimizing the performance and reliability of critical assets such as mixers, chillers, and packaging equipment is essential for maintaining product quality, safety, and profitability.
In the heavily regulated pharmaceutical industry, ensuring the optimal performance and compliance of critical assets like reactors, spray dryers, and tablet presses is crucial for maintaining product quality, patient safety, and regulatory adherence.
Conversion Cost per Unit Produced
Utilization Growth %
ROI / Value Creation per Unit Time per Unit Area
Cost of Maintenance per Unit Produced
Safety & Risk Management
ROI / Production Agility
Digital Tool Scatter / Integration Complexity
AI-driven Site-wise Dashboards + Schedules
ROI-centric Digital Transformation
Output Growth %
% Decisions Based on AI Prescriptions
Cost Competitiveness
Unscheduled Downtime Hours
% AI Prescriptions Accepted & Acted Upon
Asset Reliability
Cost of Energy per Unit Produced
Energy Efficiency
Productivity Growth %
Digital Ways of Working
Digital Transformation ROI
PlantOS™ empowers process industries to Baseline, Benchmark, Optimize, and Collaborate, driving production outcomes.
Adopt Production Outcomes-as-a-Service (POaaS) without significant upfront costs, enabling rapid scaling of your operations.
Implement prescriptive maintenance and optimize energy efficiency with our with our unique combination of Vertical + Agentic + Explainable AI models and 24/7 expert support.
PlantOS™’s vertical AI models, tailored for industries like metals, mining, cement, paper, chemicals & fertilizer, rubber & tyre, food & beverages amongst others, deliver 99.97% fault prediction accuracy. Being trained on industry-specific failure modes, it ensures predictions are relevant and actionable, validated across 70k+ monitoring locations. Artificial Intelligence embedded in the system contextualizes these fault patterns with machine configuration data, resulting in accurate condition diagnoses and prescriptive insights and recommendations every single time.
Business Case Evaluation
Solutioning
System Deployment and Go-Live
Client Success Program
Digital Transformation
Get in touch with our team today to discuss how Infinite Uptime can revolutionize your facility’s operations and drive long-term success