We identify and encode the core prior knowledge that makes imaging problems solvable across modalities, anatomies, species, and scales.
This foundation allows rapid customization to new problems without rebuilding pipelines—yielding unprecedented efficiency, scalability, and reliability of deployment.
Our systems are not trained in isolation. They are constructed using a proprietary AI-powered development environment that encodes decades of domain expertise in quantitative biomedical imaging.
This allows us to derive meaningful, stable quantitative metrics from 2D, 3D, and 4D imaging data with minimal manual re-engineering.
We maintain custom ground-truth data that generalizes across imaging modalities and species. This data powers an AI + human-in-the-loop engineering process that combines automation with expert validation.
The result is a system that scales without sacrificing interpretability, provenance, or trust.