Turn your fragmented product data into a unified IDMP Data Backbone Achieve Guaranteed IDMP Compliance – at Speed

Adapting existing systems like RIM or MDM often means trying to force-fit a generic tool for a very specific and complex standard. This approach typically requires expensive, high-risk customization projects and heavy reliance on external consultants to make it work - and despite all that the result is a system standard not directly interoperable with other IDMP implementations. The ACCURIDS approach is fundamentally different. Our purpose-built "IDMP Product Data Standardization Fabric" leverages the ISO IDMP Ontology and HL7 FHIR as implementation standards and implements those as a non-invasive, intelligent layer that connects to your existing systems without replacing them. Think of it as a universal translator for your data. Instead of disruptive "rip-and-replace" projects , our fabric connects to your sources as they are, logically unifying the fragmented information into a single, cohesive, and audit-ready asset. This makes your product data immediately available and interoperable across the enterprise, without altering the underlying systems.

Data standardization projects often fail because organizations try to configure generic tools for a highly specific and complex standard. ACCURIDS eliminates this risk because our solution was purpose-built around the IDMP standard itself. We initiated the ISO IDMP Ontology project at Pistoia Alliance with innovative pharma companeis, co-developed it over the last 4 years and are the official implementation partner. As we already helped many organizations standardize their product data with the IDMP Ontology - our software, pre-standardized data assets and team provide the most effective way for you to implement IDMP within a few months, de-risk your project and ensure success.

Our platform follows a clear, automated three-step process. First, we Connect & Standardize, using our Standardization Engine to transform data from your existing systems into the uniform IDMP Ontology format. Second, we Match & Unify these records to eliminate redundancies and create single, complete "Golden Records". Finally, we Access & Utilize by connecting these records in our Knowledge Graph to create a unified "Product Data Backbone". This process is fine tuned with AI and a huge repository of public and private product data that allows to contextualize your product data and minimizes SME involvement to verify data quality and consistency. The resulting semantic data network is immediately available as a intelligent central source of truth for your critical processes, analytics, and AI initiatives.

IDMP is the entry point, but the core outcome is a long-term strategic asset: a trusted, enterprise-wide "Product Data Backbone". This unified data foundation is AI-ready and built to enable future strategic initiatives far beyond the initial compliance use case. By ensuring data is clean, contextualized, and interoperable, the backbone accelerates critical processes like "Time to Submission" and "Tech-Transfer," ultimately speeding up "Time-to-Peak-Sales" and optimizing the entire value chain.