Carlos Larraín
CEO
X-Analytic
X-Analytic is an AI-powered platform that centralizes data from various sources, enabling real-time monitoring of critical assets to predict failures and reduce unplanned downtime. By integrating operational, control system, and sensor data, it enhances maintenance efficiency and lowers operating costs for mining operations.
- Artificial Intelligence
- Data & Analytics
- Industrial Automation
- Software Only
Updated 7 months ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Mining operations face challenges in predicting equipment failures and minimizing unplanned downtime due to fragmented data sources and a lack of real-time asset monitoring. This results in inefficient maintenance practices, increased operating costs, and reduced overall productivity.
Solution
X-Analytic is an AI-powered platform that centralizes data from disparate sources, providing real-time monitoring of critical mining assets to predict failures and reduce unplanned downtime. The platform integrates operational data, control system data, and sensor data into a unified view, enabling enhanced maintenance efficiency and lower operating costs. By applying artificial intelligence, X-Analytic empowers critical-event analysis, allowing teams to perform failure prediction, anomaly detection, remaining useful life (RUL) estimation, and cost and reliability analysis. The platform's data gateway and discovery features facilitate the collection and exploration of frequently used data from various sources in one central space.
Target Audience
X-Analytic targets mining operations seeking to improve maintenance efficiency, reduce operating costs, and minimize unplanned downtime through AI-powered predictive analytics and real-time asset monitoring.
Features
- Centralized data integration from CRM, ERP, operational, sampling, control system, and sensor data sources.
- Real-time asset health monitoring with issue detection to prevent unplanned downtime.
- AI-powered predictive analytics for failure prediction, anomaly detection, and RUL estimation.
- Data gateway and discovery tools for exploring integrated data sources.
- Customizable dashboards for visualizing asset health and performance metrics.
- Integration with existing maintenance management systems.