
Automating radiology reporting with interpretable Machine Learning.
Focus: Vision–language foundation models that generate end-to-end radiology draft reports
Headquarters: San Francisco, United States
Founded / launched online: September 2024
Employee count: 8
Recent funding: $4.1M seed (Seed round reported Mar 12, 2025)
Radiology reporting automation and medical-image interpretation
2024
Healthtech / Medical AI
$4.1M
Company blog announces $4.1M seed and lists participating investors including Y Combinator, Rebel Fund, Reach Capital, and Phosphor Capital.
“Includes participation from accelerators and early-stage investors such as Y Combinator and Valia Ventures”