One of the largest Oil and Gas companies in the world sought to reduce human risk, increase safety, and maximize refinery uptime. Expero was engaged to create a comprehensive petroleum refining plant’s safety application using advanced AI/ML and graph algorithms to prevent incidents and save lives.
One of the largest Oil and Gas companies in the world sought to reduce human risk, increase safety, and maximize refinery uptime. Expero was engaged to create a comprehensive petroleum refining plant’s safety application using advanced AI/ML and graph algorithms to prevent incidents and save lives.
The challenges were multi-faceted and included:
UI and User Experience - Crafted bespoke and innovative designs based on refinery processes and safety protocols.
Technology Platform - Designed a new analytics and graph database platform to connect existing solutions and data sources.
Custom Software Development - Delivered a full suite of customized features and brought the product to market.
Graph Database using Expero’s Technology Accelerators - Leveraged our Connected platform and customized it with various data science methodologies.
Within a few months, we designed and delivered a robust application that allowed users to uncover valuable insights about previous accidents to find correlations and, ultimately, prevent onsite accidents.
One of the largest Oil and Gas companies in the world sought to reduce human risk, increase safety, and maximize refinery uptime. Expero was engaged to create a comprehensive petroleum refining plant’s safety application using advanced AI/ML and graph algorithms to prevent incidents and save lives.
The challenges were multi-faceted and included:
Within a few months, we designed and delivered a robust application that allowed users to uncover valuable insights about previous accidents to find correlations and, ultimately, prevent onsite accidents.