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Deduplication

One record per real thing.

When the same information arrives through several channels, the tool spots look-alike records, suggests scored matches and leaves the decision to you.

What the tool does.

Names spelled differently, incomplete addresses, approximate dates: the comparison tolerates the gaps and combines several criteria into a similarity score.

Each suggested match is approved or rejected by a person, and the decision is kept. The engine already runs inside a business application; the standalone version is on the way.

  • Fuzzy comparison of names, addresses, sizes and dates
  • Suggested matches, each with a score
  • A person approves every merge
  • Spreadsheet imports

How it works.

  1. 01

    Import your files or enter your records.

  2. 02

    The tool suggests matches, from the surest to the most doubtful.

  3. 03

    You approve or reject; duplicates are merged.

Where AI comes in · No AI inside

No generative AI: matching relies on text-similarity measures, which are predictable and checkable.

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Name it. We’ll handle the rest.

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