Most companies discover 30 to 40% duplicate records they never knew existed. Get a demo of MatchLogic's data matching software and see your real duplicate count live.
Records matched
Match accuracy
Time to first profile
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No black-box matching. No months of setup. Just clean, unified data with full visibility into how every duplicate was found.
When Bob Smith matches Robert Smith Jr. you see name similarity (87%), address match (100%), and phone correlation (95%). Adjust any threshold.
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Cleansing rules and match definitions are proposed by AI from your own data, then executed by the deterministic engine. The model runs offline behind your firewall.
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MatchLogic installs inside your own network. Nothing uploads and nothing leaves, so you can evaluate matching on real production data safely.
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Score candidate pairs through the REST API, or let any LLM run cleansing and matching workflows through the MCP server without touching your records.
Everything the enterprise version offers, for 14 days.
Duplicate counts, quality scores, and format issues on any volume.
Fuzzy, exact, phonetic, and custom rule matching.
See exactly which algorithms fired and why for every match.
Export clean data in CSV, connect via REST API, or push to your warehouse.
Cleansing and match rules proposed from your data, approved by you.
“Finding 850 high-value households we had never properly identified was humbling. These were not new prospects. These were people who had been banking with us for ten or twenty years, and we had been treating them as four different small relationships instead of one big one.”
Vice President of Operations, Midwest Community Bank
A specialist takes a dataset from raw to matched in front of you: profiling, rules, scored matches, and clean export. It is the full product on live data, not a slide deck, and you can bring your own sample to steer it.
Fill out the form and pick a time that works. The demo runs about 30 minutes on your data scenario, with time for questions on your systems and compliance requirements. No commitment afterward.
Yes. MatchLogic is a full on-premise install, so records never leave your network. The AI recommendations run on a custom language model installed with the product, completely offline behind your firewall, and an LLM connected through the MCP server never accesses your data.
Matching shows exact duplicate counts, fuzzy variation groups, and confidence scores for every potential link. You will see where “McDonald's” appears as “McDonalds” and “Mc Donald's”, which systems create the most duplicates, and which records are likely matches.
Most companies discover 30 to 40% duplicate records they never knew existed. A first match uncovers duplicates hiding behind misspellings, abbreviations, and format differences that manual review would never catch, and quantifies exactly what they are costing.
The Docker-based install runs on any infrastructure in under 5 minutes, entirely inside your own network. You can connect SQL Server, PostgreSQL, MySQL, Oracle, or flat files, or load a CSV directly.
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