THE LOCKSTITCH APPROACH

THE LOCKSTITCH APPROACH

What sets us apart

We turn the insights that make humans good at one-at-a-time record linkage into a scalable pipeline that’s tailored to your data and isn’t a black box.

More good matches, fewer bad ones

With most tools there’s a catch: the harder you push to catch every real match, the more wwrong ones slip through. Lockstitch gets you more of the good and fewer of the bad at once.

What makes it work is a combination that is hardly ever found together: advanced Bayesian statistical approaches from academia, plus years of hard-won knowledge from applying common sense in the real world. We’ve taught the model to weigh things like a knowledgeable person using common sense, but across thousands or millions of records at a time instead of one by one.

Transparent and tunable

01

Explainable Scoring

For any match, see which details lined up, which didn’t, and how much each one counted.

02

Adjustable Thresholds

Decide how sure is sure enough - you choose the probability threshold for matching.

TAILORED TO YOUR DATA

TAILORED TO YOUR DATA

Tailored to your data, run in your warehouse

Lockstitch is not an off-the-shelf product that pretends all data is the same. We work with your team to tailor the model to the way your particular sources behave, and it runs right inside your own warehouse, so sensitive data never has to leave your environment. As your data refreshes, the matches refresh with it.

Designed for warehouse teams working in SQL, with a domain expert available for focused review and sign-off.

Sensitive data stays governed by your access model. Any configuration boundary is agreed explicitly during scoping.

READY TO IMPLEMENT

Make record linkage a dependable part of your data operations.

Lockstitch Data is ready to implement a calibrated, explainable record-linkage system in your warehouse—built for the sources and decisions your team already manages.