Few-shot AI data annotation co-pilot for high-precision scientific vision

AnnotateDx is an algorithm-assisted annotation platform designed to eliminate the ground truth bottleneck in Medical AI, Pharmaceutical R&D, and Industrial Metrology. In these high-stakes fields, experts currently spend up to 25% of their time manually quantifying visual data, such as tracing tumors, tracking particles in drug assays, or identifying defects on manufacturing lines. Our solution learns from as few as a single example provided by a human expert to identify similar objects throughout the remaining dataset, effectively automating the redundant data annotation process.

We validated our solution using microscopic particle image datasets for fluid characterization. The dataset consisted of defocused particle motion videos collected at 30 fps, containing 500–1,000 objects per frame. We achieved a 4x reduction in the human time required to annotate objects in the first frame and automatically tracked over 95% of the objects across the video. We are currently seeking R&D partners to pilot the platform on proprietary datasets (such as cell migration assays, histology, and microscopy imaging) to validate domain-specific adapters and accelerate the deployment of automated analysis workflows.