Julie Fraser and I are enthusiastic about the potential for manufacturers to get more from their data following a briefing with enterprise search company Sinequa. Sinequa is tailoring their search applications to directly support manufacturers who want more holistic, integrated intelligence about their products and their business.
Being able to find and connect data across disparate systems is always a challenge, but even more important is what you do with it once you find it. Sinequa can integrate with a variety of systems to ingest, enrich, index, and present valuable manufacturing data in the proper context. For example, a Sinequa application could collect and display the various elements of a product digital thread from data spread across underlying systems like PLM, QMS, and ERP.
Sinequa also leverages AI to help users “converse” with the content. For example, they leverage large language models to surface and contextualize both structured and unstructured information about products that a typical employee would not have access to, or perhaps know existed, from related systems. It’s important to note here that Sinequa has developed a mature security model so users will not be presented with information they do not have permission to access.
These capabilities have the potential to provide a much richer, more holistic view of manufacturing data. This view can help manufacturers better understand their products and business and ultimately make better decisions. They’ve developed applications for a very compelling set of customers, including Alstom, Airbus, Northrop Grumman, and NASA, that they’ve helped with information-intensive processes like maintenance and support, among others.
We’re excited to see their progress and how the manufacturing community receives the application templates they’re developing. It will also be interesting to see how they partner with PLM vendors and potentially expand to operational data like MES. We’re excited to learn more.