Focused agent roles
Separate responsibilities allow detection and verification to be evaluated individually and together.
OUR TECHNOLOGY APPROACH
Our platform is being designed around complementary AI agents. Each has a focused role, contributing to a connected workflow that ends with radiologist review.
A PROPOSED MULTI-AGENT WORKFLOW
Detection looks broadly for potential findings. Verification evaluates the candidate regions. The radiologist brings clinical context and makes the final assessment.
HOW THE LAYERS WORK TOGETHER

A detection agent is being developed to examine chest CT images and identify potential pulmonary nodule candidates.
Potential findings brought into viewTHE ARCHITECTURAL INTENT
Separate responsibilities allow detection and verification to be evaluated individually and together.
Candidates are presented as visible regions for assessment, alongside study context.
Additional intelligence modules may be explored as research and clinical requirements evolve.
Changes to the system should be assessed for both detection behavior and the practical review burden.
Architecture and capabilities are in development. The workflow is a conceptual description, not a claim of validated clinical performance.
FROM DESIGN TO EVIDENCE
We plan to evaluate the full workflow, including detection behavior, verification, failure modes and clinician review. Published results will describe the conditions under which they were measured.
Explore the research frameworkLET’S BUILD THE NEXT CHAPTER
We’re looking to collaborate with radiologists, imaging centers
and clinical research partners.