Our Projects

The client is a data processor that normalizes and enriches data from a variety of vendors across Latin American countries. A rules-based engine already achieves 79% accuracy, but the current process requires manual intervention and significant human resources. We applied a Knowledge Graph-based classifier to exceed the accuracy target of 85%, achieving 90% accuracy instead.

A medical device manufacturer startup with EU funding is developing a rapid AST (Antibiotic Susceptibility Testing) system. Iguacode LLP coordinates architecture, planning, and development of software components, including the central Coordinator and UI components. We accelerate development through modular approaches via a message bus system and optimize ONNX-based Machine Learning algorithms for performance.