By training on your data, Zingg AI provides complete flexibility to define and use the fields you want
Zingg Learns Not To Compare Records With Every Other Record Based On User Labels
The identity graph is persisted within your datalake or warehouse so you can use it for downstream applications
We have these different data sources and we wanted to be able to match people, find the common records across different applications, find who belongs with whom and how. Zingg became the engine that powers our golden records and makes our composable data stack truly interoperable.
Shelomo Dobkin, Director of Product Development,
Orthodox Union