Context-aware matching — it understands your data, not just the characters
Understands meaning, not patterns
"IBM Corp" and "International Business Machines" score near 0% on character similarity. Embeddings know they're the same company. Traditional fuzzy matching doesn't.
Reasons across multiple fields
Brand, model, price, and category combine into a single judgment — the way a human analyst weighs all the evidence together, not one field at a time.
Reviews ambiguous cases like a human
When similarity scores land in the uncertain middle, a language model reads both records and decides — the same call a data analyst would make manually.
Built for the hardest matching problems
CRM deduplication
Find duplicate contacts and companies across two systems with fuzzy name and email matching.
Product catalog merging
Match products across suppliers and retailers using description embeddings and numeric attributes.
Entity resolution
Link records across databases where IDs differ but names, addresses, or descriptions overlap.
Research data linkage
Connect datasets from different studies or surveys by matching on multiple fuzzy fields.
A workflow built around accuracy
Upload any CSV
Two CSV files in — any size, no formatting required.
Drag and drop up to millions of rows. Headers are detected automatically — no preprocessing or column mapping needed before uploading.
Describe your matching goal
Tell the AI your goal. It builds the full config automatically.
The assistant analyzes your column names and sample data, then auto-generates pre-filters, embedding fields, similarity thresholds, and LLM confirmation rules.
Review and tune
Inspect and adjust the generated rules before running.
The pipeline editor exposes every stage independently: string pre-filters, AI field extractions, embedding fields, similarity thresholds, and LLM confirmation prompts.
Sample run
Run a sample to validate accuracy and estimate credit cost.
The sample is drawn from your dataset so results are representative. Estimated credit cost is calculated from actual pipeline execution on the sample rows.
Full run
Process your complete dataset.
Every row is matched and scored. Download results as a clean CSV — matched pairs, confidence scores, and all configured export fields — at any time.
Start matching your data today
Start with 100 free credits. No credit card required.
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