mateDX is redefining how lateral flow assays (LFAs) are developed and validated. Our fully automated Robotic Assistant integrates robotics, machine learning, and computer vision to eliminate the manual, time-consuming steps that currently slow down LFA development. From experiment design to test failure analysis and documentation, mateDX aims to provide an end-to-end automated pipeline that rapidly optimizes assays and improves reproducibility. By transforming LFA development and quality control into a data-driven, autonomous process, mateDX enables faster, more reliable diagnostic development across healthcare, agriculture, and environmental monitoring - empowering diagnostic companies to respond swiftly to emerging diseases and accelerate the launch of new tests.

The first prototypes for automated Lateral Flow Assay (LFA) development and quality control have been developed and tested. The next planned step is to consolidate these prototypes into a unified, user-friendly MVP that will establish the foundation of the mateDX system and enable validation in real-world applications.