Matchbook XDM is a next-gen, cloud-native MDM platform that matches, cleanses, enriches, and unifies B2B entity data—delivering context-specific intelligence with enterprise-grade accuracy, agility, and speed.
Matchbook XDM unifies fragmented records across CRM, ERP, PIM, MDM, and third-party data providers—delivering a single trusted entity view with automated matching, enrichment, and real-time synchronization.
(Batch/Streaming)
Managing vast amounts of data from diverse public and private sources is a significant challenge.
(Standardize & Cleanse)
Standardize and cleanse the ingested data to ensure consistency and quality before further processing.
(AI Driven Logic)
Utilize AI-driven logics to match and merge datasets effectively, enhancing data accuracy.
(Third-Party Integration)
Integrate third-party data to enrich the existing datasets, providing deeper insights and context.
(Back to Platforms)
Publish the enriched data back to various platforms and applications for end user access and utilization.
Our platform automates the end-to-end process, transforming raw data into a trusted and unified asset. We manage the entire lifecycle from ingestion and cleansing to enrichment and delivery back into your systems.
Matchbook helps you cut costs and create value across teams, from data ops to analytics, from compliance to revenue, providing real-world benefits for all critical stakeholders.
Reduce marketing spend and improve return on advertising through better record linking and enrichment, which yields higher matches or custom integrations for reports.
Reduce manual duplication effort with scalable, cloud-ready AI capabilities that let you focus on building higher value solutions. Each Matchbook API call handles hundreds of thousands of rows per minute with no hassles.
Standardize vendor and compliance monitoring across your organization with a single audit trail & internal controls that satisfy digital asset management.
Ensure cost-savings, data accuracy, and streamlined purchasing workflows by connecting spend data with enriched profiles.
Matchbook XDM is a cloud-native Master Data Management platform designed for seamless interoperability across modern enterprise data ecosystems. Available on the AWS Marketplace, it offers deep native integration with Snowflake, Databricks, Salesforce, SAP, and other enterprise systems to unify, master, and enrich B2B entity data for fast, confident business decisions.
When source data is incomplete, inconsistent, or inaccurate, Matchbook XDM automatically enriches and validates entity records through advanced data research powered by Smart Web Scrapers, Autonomous Agents, and Fine-Tuned GenAI Models.
Whether your data resides in batch files, real-time streams, SaaS applications, or on-prem systems, Matchbook XDM consolidates it into a single trusted entity view— enabling accurate analytics, operational efficiency, and AI-ready data activation.
Matchbook's AI makes it effortless to deduplicate or match records across your datasets. Our pre-trained algorithms handle the heavy lifting so you can focus on using your data to drive business value.
Bring external data sources into your ecosystem to enhance customer, vendor, and partner profiles with richer, more actionable attributes.
Track and manage updates from external data providers to ensure your business entity records stay continuously accurate and current.
Expose high-quality external datasets directly to analytics, BI tools, and downstream systems for faster insights and stronger decision-making.
Provide role-based, context-specific entity views tailored to sales, procurement, risk, finance, or operations teams—so every business user receives exactly the intelligence they need to make faster, informed decisions.
Automatically enrich incomplete or missing entity details by sourcing verified information from public records, trusted data providers, Smart Web Scrapers, and Autonomous Agents—delivering more complete and reliable B2B profiles.
Unify business entities across internal and external systems by matching them against trusted reference datasets for a single, consistent identity.
Eliminate duplicates across business systems to maintain clean, trusted, and operationally efficient entity records.
Reveal hierarchical and relational structures—parent companies, subsidiaries, and ownership networks—to power deeper relationship intelligence.
Map your maximum revenue return using
ALL your data resources.
