
The product has outgrown the Enterprise
Every product event crosses functions. The context does not.
Every Change Triggers Manual Investigation
Disconnected Data Limits Decisions and AI
Too Few Experts Holding the Portfolio Together
The Enterprise Layer for Trusted Product Context
Product Context Intelligence connects product identity, data, relationships and events across the enterprise. It gives people, applications and AI agents a shared understanding of each product - without replacing the systems that create and manage the data.
Creates Trusted Product Context Across Functions
Turns Every Change into a Clear Impact Answer
Enables Intelligent Automation and Context-Aware AI Agents
How Product Context Intelligence Works
Stop reassembling the product story by hand. Our non-invasive layer connects your existing systems and external sources without replacing them, and turns scattered records into one trusted product context that people, applications and AI agents can use.
Connect & Contextualize

Resolve Identity & Relationships
Understand, Decide & Act
What Trusted Product Context Enables
Trusted product context turns connected data into concrete capabilities teams can use every day.
Change & Impact Intelligence
See what a supplier change, safety signal, or new rule touches across products, substances, sites, and registrations, before the impact spreads.
Regulatory & Submission Intelligence
Keep submissions aligned with trusted product context so IDMP, IDMP-O, and EMA-facing workflows stay consistent and audit-ready.
Data Quality Across Functions
Give Regulatory, Clinical, Quality, and Supply one shared product truth instead of conflicting local copies.
AI Agents & Intelligent Automation
Give AI agents coherent product context so automation acts on meaning, not fragments.
The Foundation Powering Product Context Intelligence
Make your product data IDMP-compliant
Compare and align your data with EMA PMS

Create a unified reference for all data across systems
Built for Product Context Intelligence, proven in pharma
Official Veeva Product Partner

1st Official IDMP Implementation Partner


We Co-Developed the IDMP Ontology
Supported by 12 pharmaceutical organizations to unify product data, strengthen compliance, and create trusted context for decisions and AI.


Security & Compliance
You Can Trust
Designed for GxP
& 21 CFR Part 11
Flexible Deployment for Your Environment
Full Data Control & Isolation
News & Insights
Frequently asked questions
Product data in pharmaceutical companies is typically scattered across countless systems like MDM, RIM, and ERP, and many different files using inconsistent terminology. This fragmentation makes adapting to new regulatory standards like IDMP an extremely slow, error-prone, and manual process. Accurids solves this by transforming your scattered data into a single, reliable, and audit-ready asset, creating a trusted "Product Data Backbone" connected to the entire enterprise.
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.
The Fabric achieves IDMP compliance in the fastest way possible because it is built on IDMP-O from the ground up. Unlike legacy systems that are force-fitted into IDMP through years of customization, the ontology is foundational.
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.
From Fragmented Product Data to Trusted Product Context.
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