Our vision at Elevating Patterns is to free product data from its cages and connect it where it is in order to promote innovation and collaboration on an industrial scale. In concrete terms, this means that with our #IndustrialGraph we can connect product data across the entire lifecycle and beyond company boundaries. We do not demand a greenfield from our customers, but can also find our way very well in a brownfield.
It is important to us not only as a data lake to enable the search for the right product data and traceability. Rather, we want to be the orchestration instance for industrial product data that can also make changes in connected IT systems in order to realize a truly complete change process. Federated, controlled and high-performance.
We achieve this with a cloud-native software architecture that is based on real, separately operable microservices. These run in their own containers and therefore also support horizontal scaling. Product data has always been a graph problem, which is why the best-performing database technology for us is a real graph database – but not exclusively. Some data is better stored in tables or documents.
Our modeling engine makes it easy to extend our platform in a no-code approach. It is based on a metamodel that allows the definition and extension of standardized and custom data models. Everything is controlled with an industry-ready lifecycle management and directly available in UI and API. Platform services allow their use across a variety of applications – this will certainly include variant management in the future. These apps can be developed by EP, partners or customers themselves to support specific use cases and shared and distributed in the community via our App Shop. With our graph, the data treasures of the industry can also be leveraged for the use of AI agents. The REST API is ideally positioned for the cloud age and a modern web UI prioritizes usability and the needs of the user – all in all, a tool that everyone enjoys working with.