Entity Matching

The most comprehensive way to scalably resolve every single record

AI Matching

Uses machine learning to detect matches that rule-based systems alone would miss, learning and adapting from your data over time.

✓ Any entity, any schema

✓ Minimal labeling via interactive labeler

Rule-based exact comparisons that plug in known identifiers and business rules for high-confidence, explainable matches.

✓ Match on email, SSN, passport ID

✓ Merges into one identity graph

✓ Skips ML inference where matched

Recognizes common name variants, like Bob for Robert, so records aren't missed on a technicality

✓ Prebuilt nickname mappings

✓ Bring your own mapping file

Resolve records in any language with no restrictions or manual configuration.

✓ Chinese, Japanese, Thai, Hindi

✓ German, French, Greek

✓ No language-specific setup required

Add mappings for categorical attributes and reduce data preparation time.

✓ Custom mapping match type

✓ Reduces manual data prep

✓ Domain-specific mapping rules

Ignores common filler terms, like Mr, Inc, or Pvt Ltd, that would otherwise skew a match score

✓ Auto-recommends stopwords per field

Handles abbreviations and legal-entity suffixes, like Corp versus Corporation, so company records unify correctly

✓ Prebuilt company mappings

✓ Custom mapping file support

✓ Multi-language coverage