The CLT knowledge database catalogs cross-laminated timber information in an interface that helps users find relevant information. The information system uses data aggregator bots that search the internet for relevant information. These bots search for hundreds of keywords and use machine learning to determine if what is found is relevant. The search engine uses intelligent software to locate and update pertinent CLT references, as well as categorize information with respect to common application and interest areas. As of 2/24/2022, the CLT knowledge database has cataloged >3,600 publications on various aspects of CLT. This system fosters growth of mass timber markets by disseminating knowledge and facilitating collaboration among stakeholders, and by reducing the risk of duplication of efforts. Manufacturers, researchers, design professionals, code officials, government agencies, and other stakeholders directly benefit from the tool, thereby supporting the increasing use of mass timber, which benefits forest health by increasing the economic value of forests.