OverRad AI gives radiologists superpowers

Where precision meets speed: half the time for full insight.
How it works

Pattern recognition is not enough. We built for pattern comprehension.

A convolutional neural network designed to approach diagnosis like a physician, not a medical student with flashcards. The most critical observations are already highlighted, and an experienced partner helps you deliver faster, more accurate reports.

Our Mission

Unlock Capacity to Enable Providers to Deliver Better, Faster Care More Accurately

Reduce Noise
More Support, Less Burnout
Replace Endurance with Capacity
Reduce Noise
More Support, Less Burnout
Replace Endurance with Capacity
Reduce Noise
More Support, Less Burnout
Replace Endurance with Capacity
Reduce Noise
More Support, Less Burnout
Replace Endurance with Capacity
Reduce Noise
More Support, Less Burnout
Replace Endurance with Capacity
Reduce Noise
More Support, Less Burnout
Replace Endurance with Capacity
THE DIFFERENCE

Unlike other models, OverRad AI is constantly learning and improving

Traditional classification-based models only capture part of the story and are limited in the kinds of pathologies they can correctly identify.

That’s why our models aim for >97% accuracy, speeding up radiologists’ workflows while improving accuracy and detection rates.

Meet the Team

Co-Founder · CEO

Jonathan Hastings

Career spanning Jet, Rent the Runway, Squarespace. VP Product at Salvo Health + Vale Health. 5 years in healthtech. Princeton, Public Policy & International Affairs.

Co-Founder · CMO · President

Matthew Knouse, M.D.

Practicing radiologist. Chief Medical Officer of Telerapp (teleradiology group, 12 countries). Advisor, Isono Health. Temple/Cooper residency. Licensed in 20+ states.

CONTACT

Let's talk.

Health systems, radiology groups, and investors — reach out and we'll be in touch within one business day.

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