SKAI, a graph database technology company, said on Monday it has completed building the National Health Insurance Service’s false enrollment detection system for workplace subscribers by applying the domestic graph database AgensGraph, in partnership with The Skylab.

The project is part of rebuilding the integrated collection information system that processes collection tasks for health insurance, the national pension, employment insurance and industrial accident compensation insurance. It will be used to develop false enrollment models and build a self-check system.

False enrollment is difficult to distinguish using only individual subscription information, the company explained. It said linking asset size, income and reported workplace size can reveal inconsistencies and combinations that are hard to establish but are not visible in individual items.

SKAI is applying relationship analysis technology not only to eligibility verification but also to case and communications network analysis. It also implemented an association-building environment for the National Tax Service and the National Police Agency based on AgensGraph. In the case of the National Police Agency’s drug offender search and tracking system, it shows on a 3D screen links among people who appear as buyers and sellers in different cases among more than 140,000 people under management.

Shin Jae-hyuk (신재혁), CEO of Sky Worldwide, said the global graph database market is growing rapidly because competitiveness in the AI era depends not on the volume of data but on the ability to read the relationships hidden within it. He said the company will grow into a core public-sector AX company that connects data to AI based on graph technology proven in public-sector settings.