Hybrid Record Linkage

Our Hybrid Record Linkage framework combines the automatic and manual review process to achieve both scalability and high-quality linkage results by allowing the automated algorithms to resolve the majority of the linkages that have a high probability of being either a match or non-match, but also have the option to send ambiguous pairs to human experts for final determination to improve the linkage quality. You can use our trained models to conduct record linkage on your data or train a new model using your own dataset.