Automate IDMP Data Standardization and Unify Your Product Data Across All Systems

Our platform guarantees compliance through two core, distinct capabilities. First, the IDMP Standardization Engine automates the complex transformation, mapping, and matching of your diverse data into the correct format. Second, our entire platform has a Regulatory-First Design Built on IDMP-O, meaning its data model is based on the official IDMP Ontology that we co-developed. This ensures the highest possible precision and compliance certainty, making your data truly interoperable.

One of the biggest problems why IDMP projects fail is that teams attempt to force-fit generic tools to a complex, specific standard. We eliminate this risk entirely because our solution was built around IDMP and FAIR data from the core. As the official implementation partner that co-developed the IDMP Ontology with the Pistoia Alliance, our Fabric is the authoritative implementation of the standard itself, not another configuration attempt. This unique expertise is the ultimate guarantee of project success. In addtion our software is able to detect, monitor and resolve data quality across different sources - eliminating second biggest failure reason for IDMP projects.

Data quality is indeed a huge problem in pharma and lot's of data needs to be cleaned up. However, with ACCURIDS, you can leverage the Data Quality monitoring and resolution capabilities to ensure your team is working on the important quality issues in collaboration with Data Quality AI agents. Our platform is designed to end the "soul-crushing" grind of reactive, manual data cleaning. Our Unified, User-Friendly UI empowers your business experts and data stewards to perform proactive governance and curation in a single, central place. Combined with Automated, Continuous Data Quality Monitoring, this shifts your team from tedious fire-fighting to high-value, proactive data strategy, ensuring your data is always audit-ready.

Our automated engine accelerates the timeline from years to just months, delivering a tangible asset with minimal burden on your internal teams. To begin, we offer a "Data Quality Risk Assessment" as a low-threshold first step. This assessment ingests a sample of your data to provide a comprehensive quality score, immediately demonstrating the platform's value and giving you clear insights into your current data landscape.