Pick your engine. Scale when you're ready.
Healthcare systems cannot send patient data to the cloud. Government agencies cannot transmit citizen records outside their network. MatchCore meets your security and compliance requirements with three deployment options.
Install locally. Run profiling, cleansing, and matching projects on your machine. No data leaves your laptop. Ideal for individual analysts and project-based work. Full pipeline. Full accuracy. Operational in minutes.
Install on your infrastructure. Team access with multiple user licenses. Schedule recurring pipeline runs with the built-in Workflow Scheduler. Automate matching to trigger when source data updates. Calendar view for managing all scheduled tasks.
RESTful API exposes every platform feature: profiling, cleansing, matching, deduplication, and merge operations. Embed directly into your data pipelines and applications. Acts as a real-time data quality firewall between your databases and data entry forms.
The same platform that deduplicates your CRM also matches patient records, resolves citizen identities, cleans vendor masters, and reconciles data during acquisitions.
Most ML-based matching platforms require weeks of model training with labeled data before they produce reliable results. MatchCore uses pre-built, tunable algorithms refined across thousands of real datasets since 2006. Load your data, configure your rules, and see accurate matches on your first run.
When MatchCore links two records, it shows exactly which fields contributed, which algorithms were applied, and what the field-level scores were. 'Name: 93%. Address: 87%. Tax ID: 100%.' If a match looks wrong, you adjust the threshold and re-run. No black box ML. No unexplainable outputs.
Enterprise MDM platforms charge six figures for capabilities most organizations never use: data lineage, catalog, governance workflows, AI agents. MatchCore does one thing extremely well: data matching. You get enterprise-grade accuracy without paying for an enterprise-grade platform you do not need.
Every customer gets a dedicated account manager and product specialist. Free training sessions whenever you need them. Direct access to the team that built the algorithms. When you hit a tricky dataset, you call someone who has solved that exact problem before. We have operated this way since 2006.
Every demo starts with your data. Bring a sample file and we will walk through profiling, cleansing, matching, and golden record assembly live. You will see how the platform handles your specific data quality challenges. No slide decks. No hypothetical scenarios.
Schedule a DemoEntity resolution shows exactly how your records connect to real-world entities. You'll see which fragments belong together, where identity variations hide, and how records cluster. Visual entity maps highlight relationships across all your systems before any data changes, giving you full control over identity unification.
MatchCore resolves 10 million records in under 8 minutes, linking fragments and clustering related entities at scale. The engine analyzes every field, calculates match confidence, groups related records, and generates visual entity maps without performance issues.
Most companies discover 30-40% entity fragmentation they never knew existed. Resolution catches nicknames hiding as formal names, typos creating false duplicates, and company abbreviations splitting single entities. These variations cost real money in duplicate processes.
Deduplication removes exact duplicates within one dataset. Entity resolution links related records across multiple systems to real-world entities - even when names, formats, and identifiers vary. You get unified profiles showing the complete picture of each customer, vendor, or contact.
Yes - see exactly how records will cluster before any data changes. Visual previews show entity groups with confidence scores highlighted. Review field-by-field evidence, adjust matching rules, and approve results. Nothing changes until you confirm the resolution output.
Entity resolution creates unified customer identities for GDPR right-to-access requests, KYC verification, and AML screening. Track which records belong to each entity, prove proper identity management for audits, and maintain evidence trails showing how identities were resolved.
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