Counter.

The context

Healthcare operations produce large volumes of data. Identifying irregularities and inconsistencies within that information is the challenge Counter was built to address through periodic analysis supported by AI.

My contribution

I worked on the architecture and development of Counter at NuvTech, contributing to the construction of an AI-powered fraud detection system for the healthcare sector.

This work was part of a broader focus on Vertical AI: applying AI capabilities to the specific context and needs of a business domain.

Engineering approach

Counter applies AI to the periodic analysis of large datasets, looking for irregularities and inconsistencies. The solution brings a domain-specific problem into the design of a software system, connecting data processing with the needs of healthcare fraud analysis.

What it enabled

The system identifies irregularities and inconsistencies across large volumes of healthcare data on a periodic basis, applying AI to a concrete challenge in the healthcare sector.