Truly See Your Customers
Remove duplicates and group customers by household, or screen their names against high risk lists with automated record matching. You can also update databases with periodic activity, add supplementary data such as corporate or demographic data, integrate external data into an existing database, and compare databases against a prospect or targeted mailing list.
Accurate
Compare records and generate a matching pattern for pairs that is easily interpretable by both humans and machines.
Configurable
Set your own matching criteria and level of fuzziness to identify matches in line with your specific needs and use cases.
Effective
Automatically link pairs or trigger manual reviews based on matching criteria. Clear reviews quickly with transparency as to why records came together.
Why Teams Choose Enlighten Match
Set Your Matching Criteria
Select the customer data fields to match. We offer a standard library of matching algorithms for each industry, or you can take total control and adjust the level of fuzziness and matching options for each of the data fields involved.


Compare Records
Compare each record in the data file to all other records in the target data set field-by-field and generate a matching pattern that is easily reviewable.
A Robust API
The Enlighten real-time matching API is easy to integrate with your systems. Developers can use our documentation to start cleaning up your data quickly.
Review Pairs
Streamline your review process by setting up rules to automatically accept or reject matches or trigger manual reviews based on the identified patterns.