UptimeAI improves the operational profitability of heavy assets and process industries by enabling next generation workforce to solve problems like the Subject Matter Experts, we trust. The mission for UptimeAI’s Expert platform is to put the expertise of a seasoned engineer inside of a self-learning AI solution. Our patented Agent-based Operational Excellence (OEx) platform goes beyond legacy predictive maintenance (PdM) and Asset Performance Management (APM) with root cause analysis, automated validation, cross-learning from other equipment/units, explainable failure modes, prescriptive recommendations, and self-learning workflows. The results are holistic improvement of reliability, process & energy efficiency, maintenance costs, and people productivity.

We are trusted by some of the biggest companies in Oil & Gas, Chemicals, Utilities, Cement, and Renewable Energy space. By solving traditional problems in a modern way our customers have been able to show 10X ROI within the first year, resolve problems up to 8X faster and deploy up to 6X faster than other solutions in the market.

The AI Expert platform integrates advanced AI/ML capabilities and large language models to deliver comprehensive insights into asset performance, failure predictions, and maintenance cost reductions. By applying AI models to systems and leveraging our built-in FMEA framework with 1000’s of Failure modes users can predict, root cause, and mitigate easily within a self-learning environment. We leverage data from multiple sources such as historians, CMMS, data lakes, etc. and learn from these insights to drive actionable insights.

Eliminate unplanned failures by leveraging advanced AI technologies in modeling operations.
Improve operational efficiency by looking at the data of an entire site, not just a few assets.
Pinpoint performance bottlenecks and efficiency losses by looking at systems and not siloed data.
Reduce excess maintenance costs by identifying issues before maintenance is needed.
Increase people’s productivity by eliminating inefficient analysis.
Fully cloud native technology is deployable in our Cloud or customers private cloud environment.

AI Expert Features:

Connectors for historians, CMMS, etc.
Built-in Data Quality Module
Predictive alerts and Data quality alerts for patented system models
Built-in Failure Modes for Mechanical, Performance, and Electrical systems
Built-in recommendations and mitigations
Unique self-learning workflows
Thermodynamic efficiency calculations (IEC, PTC 4.2 standard)
Performance curves for comparing design vs current
Maintenance integration for automatic notification management
Maintenance analytics for optimization of costs
Energy management (Steam, Electric Power, Hydrogen, Flaring) and analytics
Time series analysis
Custom dashboards
Self-service widgets for charts
Custom reports and scheduler
User management (role, permissions)
Model wizard for self-service deployment and maintenance

AI ExpertUptimeAI Inc.

AI Expert

UptimeAI Inc.

AI Expert

UptimeAI Inc.

AI Expert
UptimeAI Inc.