CluedIn is a graph-native, Azure-native master data management (MDM) platform that unifies, cleans, governs and enriches enterprise data using AI-driven agents. It delivers core MDM capabilities -- entity resolution, data mastering, data quality monitoring and policy-based governance -- across data pulled from ERPs, CRMs, cloud databases and unstructured sources.
Rather than classic ETL/ELT, CluedIn uses a technique it calls "eventual connectivity": data is ingested as-is and tagged with metadata, then records with matching tags are merged or related within a graph database. This lets it build a single, high-fidelity view of master data (people, companies, vendors, products and more) without forcing source systems into a rigid predefined schema up front.
CluedIn is built to run on Azure (Azure Kubernetes Service) and integrates natively with the Microsoft data estate -- including Microsoft Purview (as a certified MDM solution), Microsoft Fabric/OneLake, Power Platform, Azure Data Factory, Databricks and Azure OpenAI. It is commonly used to consolidate and cleanse data during ERP migrations and multi-ERP consolidations, including projects that unify several legacy ERPs into a single Microsoft Dynamics 365 instance, and to ingest on-premises data from systems such as SAP, Oracle and IBM.