CluedIn provides a modern master data management platform that integrates with Microsoft Azure to automate data integration, quality management, and governance across diverse data sources. This solution addresses the challenges of complex data modeling and manual processes, enabling organizations to achieve accurate, real-time insights and a unified view of their data.
Funding
$17.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations struggle with complex data landscapes, leading to data silos, inconsistencies, and difficulties in achieving a unified view of critical business information. Traditional master data management (MDM) solutions often involve lengthy implementation times, complex data modeling, and reliance on manual processes, hindering agility and time-to-value.
Solution
CluedIn offers a modern MDM platform that integrates with Microsoft Azure and Fabric to automate data integration, quality management, and governance. The platform employs AI-powered features, including Azure OpenAI, to streamline data cleansing, standardization, and deduplication. CluedIn's graph-based technology facilitates flexible data integration and augmented data modeling, eliminating the need for upfront schema design. By providing a unified view of data, CluedIn enables organizations to make data-driven decisions, enhance customer experiences, and improve operational efficiency.
Target Audience
CluedIn targets data professionals, business users, and IT teams within organizations using Microsoft Azure and Fabric who need to master their data for AI initiatives, advanced analytics, and data-driven decision-making.
Features
- AI-powered data cleansing, standardization, and deduplication using Azure OpenAI
- Low-code UI for integrating structured, semi-structured, and unstructured data from diverse sources
- Augmented data modeling with Knowledge Graph and auto-generated schema suggestions
- Automated matching and survivorship rules for data consolidation
- Pre-built integration with Microsoft Purview for enhanced data governance
- Native integration with Microsoft Azure and Fabric
- Virtual AI Agents for 24/7 data quality automation
- Role-based access control and data lineage tracking