Strategy & Business Development for Energy and Utilities | Axians | Vinci Energies | MBA AESE/IESE
#GUTENBRaiN is an AI-powered digital engineering interface developed by Axians and Leonard that allows organizations to manage efficiently technical information of large engineering assets, like power plants, substations, refineries or oil platforms. It was developed to tackle 3 main #operationalchallenges: ⚡Document Ingestion - The need to extract the embedded data in engineering files. A large scale project is composed of thousands of dispersed documents, from disparate sources and different file formats that ultimately need to comply with the project’s specifications. GUTENBRaiN can process large amounts of data from various file formats into a managed database. Additionally, these documents/files can include text, tabular data and technical drawings, sometimes stored in legacy formats. Since this is not directly usable, GUTENBRaiN employs industry-leading Vision AI to analyze the contents with high prediction accuracy. ⚡⚡Extracting Relevant Asset Characteristics From Files - To assist teams when performing multiple activities, GUTENBRaiN applies powerful pattern matching algorithms that can detect and extract all relevant assets from these files, to produce a valuable and readily accessible knowledge base that allows teams to quickly locate mission-critical information. ⚡⚡⚡Tackle the Complexity of Managing Multiple Changes and Updates in the Project Documentation - GUTENBRaiN can automatically reprocess any document that is updated and signal the changes between different revisions or versions of the same document. This allows teams to quickly understand variances and make more informed decisions when significant readjustments are detected, thus preventing potential costly business mistakes.
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8moAude Vinzerich, PhD Frédéric Jacquet