Driving network-wide value via connected data

The combination of knowledge graphs and graph machine learning enables solutions which are difficult or impossible via deep learning or other conventional ML techniques. This enables new approaches to old problems such as master member indexing, automatic claims adjudication and fraud detection.

Dyad is building a suite of applications that leverage the power of connected data to solve these problems while simultaneously enabling cross-domain interoperability and automation.