Non-exact duplicates break your analytics and fail audits. MatchLogic finds and merges them all, with transparent rule-based matching or AI entity resolution. Clean, unified data across every system from Day 1.
MatchLogic analyzes millions of records in seconds to find inconsistencies, format issues, and potential duplicates. See exactly where “McDonald’s” appears as “McDonalds,” “McDnlds,” and “McDonald’s Corp.” across every system. Get a full duplicate risk score before you touch anything.
Learn moreAutomatically fix inconsistent formats, abbreviations, and typos across all records. Turn "St." into "Street," "Corp" into "Corporation," and "CA" into "California"—using your rules, not ours. Every transformation is logged and reversible.
Learn moreAI entity resolution finds connections others miss, grouping records that describe the same real-world entity on its own. “Robert Smith at 123 Main” resolves to “Bob Smith at 123 Main Street” with a 94% confidence score, and you see which attributes drove the match. Every AI decision stays explainable, and every threshold stays yours to adjust.
Learn moreConsolidate duplicate records while preserving data lineage. When three vendor records become one, you control which fields survive, which get archived, and which trigger manual review. No data disappears into a black hole—every merge is tracked and auditable.
Learn moreEmbed matching directly into your data pipelines via API. The AI resolves every new record against your master data in real time, with alerts when match confidence drops below your thresholds. Your data stays clean automatically, not just during quarterly cleanups.
Learn moreInconsistent customer names, duplicate vendor records, and mismatched product codes break your analytics today and fail your compliance tomorrow. MatchLogic matches them all, accurately and transparently. Match with rules you can read line by line, or with AI entity resolution that learns your data, with no black box and no months of setup either way.
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See your actual duplicate count in under 10 minutes. Most companies find 30-40% duplicates they never knew existed.
Process 10 million records in minutes, not days. Our AI-powered engine maintains 95%+ match accuracy whether you're matching 1,000 or 100 million records. No performance degradation. No accuracy dropoff. Same transparent rules at any scale.
Stop juggling different tools for customers, vendors, products, and addresses. MatchLogic handles every entity type in one platform, with AI entity resolution at its core and the same transparency throughout.
The AI finds connections humans miss, and shows you exactly how. When it resolves “Bob Smith” to “Robert Smith Jr.,” you see the attributes that matched and their scores: name (87%), address (100%), phone (95%). Every AI decision is explainable, and every one is yours to override.
Discover the most common use cases we help organizations tackle
Single customer view
Vendor consolidation
Product catalog cleanup
Post-merger integration
Migration deduplication
Compliance readiness
Entity resolution for analytics
Data quality for AI/ML
Procurement spend analysis
"Robert Smith" in CRM is "R Smith" in billing. MatchLogic links them all transparently—showing every rule and confidence score. Get accurate customer counts instantly.
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"IBM Corp" and "International Business Machines" are the same vendor. MatchLogic finds every variant across all systems. See exactly how each match was made. Cut vendor sprawl 40%.
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Same product, 15 different SKUs across systems. MatchLogic matches them all transparently—even with format chaos. See which rules unified which products. Real inventory visibility.
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Two CRMs. Unknown customer overlap. MatchLogic finds exact and fuzzy matches in hours, not months. Full transparency on match confidence. Know overlap before you migrate.
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Migrations create 30% new duplicates. MatchLogic profiles and cleans pre-migration. See every duplicate found and why. Prevent broken analytics. Migrate clean or don't migrate.
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You're buying from 1,000 vendors. Or is it 600? MatchLogic consolidates vendors across systems with full match transparency. Find true spend patterns and hidden savings instantly.
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Your BI shows 50,000 customers. You have 35,000. Duplicates break every metric. MatchLogic deduplicates before data hits your warehouse. Know real numbers, not duplicate fiction.
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Your ML model thinks one customer is five people. MatchLogic cleans training data transparently. See exactly what merged and why. Feed AI actual patterns, not quality problems.
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You're buying from 1,000 vendors. Or is it 600? MatchLogic consolidates vendors across systems with full match transparency. Find true spend patterns and hidden savings instantly.
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Matched 1.8 million records across three systems with under 2% false positives. Finally have a single source of truth we actually trust.
First profile revealed 40% missing data and format chaos we never suspected. Helped us fix issues before migration.
Merge purge eliminated 60,000 duplicate records from our mailing list. Cut direct mail costs by 34% in the first quarter.
Start matching today, not next quarter
Not a support ticket portal. An actual matching specialist who knows your data, your rules, and your specific duplicate problems. They'll configure your first match rules with you and show you exactly why each duplicate was caught.
We configure your matching rules during onboarding - not after. See your actual duplicates on day one. Adjust thresholds together. Deploy to production in days. No consulting invoices. No surprise delays.
Your team learns to tune match rules, read confidence scores, and adjust thresholds themselves. No black box dependency. No vendor lock-in. Full control from day 30. Certified and self-sufficient.
See exactly how MatchLogic’s AI resolves, matches, and merges your actual data. A live demo on real duplicates, with full transparency.
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MatchLogic gives you both. MatchCore matches records with fuzzy algorithms and deterministic logic you can read and tune, while MatchSense applies pre-trained AI entity resolution that groups records on its own. Both run on your own infrastructure, and both keep every decision explainable.
Profiling instantly shows exact duplicate counts, missing data percentages, format variations, and quality scores for every field. You'll see where "McDonald's" has 20 different spellings, which systems create the most duplicates, and which fields are 40% empty. Visual heat maps highlight problem zones across all your systems simultaneously.
MatchLogic profiles 10 million records in under 8 minutes, maintaining the same speed whether scanning thousands or billions of records. The engine analyzes every field, identifies patterns, calculates quality scores, and generates visual reports without performance degradation.
Most companies discover 25-35% duplicate records they never knew existed. The average first-time profile uncovers thousands of hidden duplicates costing real money. Profiling reveals duplicates hiding behind misspellings, abbreviations, and format differences your team would never catch manually.
Yes. Profiling gives you potential duplicate percentages and risk scores before you write any matching rules. You'll know exactly how many likely duplicates exist, where they cluster, and which fields have the variations causing problems. This helps you configure match rules based on your actual data patterns, not guesswork.
Yes. You can schedule profiling hourly, daily, weekly, or triggered by data loads via API. Embed profiling directly in your data pipelines to catch quality issues before they hit production. Set threshold alerts for when duplicate rates exceed limits or quality scores drop. Automated profiling keeps constant watch without manual intervention.
No. The AI entity resolution engine ships pre-trained on global name, nickname, and address libraries, so it is accurate from the first run. There is no labeled dataset to assemble and no model for your team to train.
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