Glemser’s approach is different from our competitors for two reasons. First, we do not require that you decommission, retire, or replace any of your existing systems. Our clients, market research, and special interest group participation (Navitas, Gartner, Forrester) showed that our clients wanted to maintain their existing systems, but add enhanced functionality, capabilities, and speed to their existing process. We have a life sciences specific applied artificial intelligence and machine learning tool that, out-of-the-box, crawls our clients’ existing RIM systems and data repositories to harmonize data. We can scan data of any filetype (PDF, word, artwork, video, spreadsheet, etc.) in any data repository (Veeva, SAP, Oracle, SharePoint, Documentum, etc.). This allows our clients to maximize the value of their data, providing a centralized search function, analytics, and insights that no number of manhours would be able to replicate. Second, our approach to content management starts with the end in mind. Whether it is global labeling, clinical labeling, CMC, medical / scientific writing, or almost any other use case, we know our clients needs to store data as components for use and re-use. We structure, store and assemble content at the component level with agency-neutral tags that can be rendered into Word, XML, PDF, HTML, and JSON formats and combined with graphics and illustrations on a page layout. This approach allows our solution to scale for any document or output required in the future (HL7 FHIR, IDMP), meeting your needs for the near and long-term.