Proof of Usefulness Report

Rad AI

Analysis completed on 1/28/2026

+776
Proof of Usefulness Score
Unicorn Utility

Rad AI is a highly legitimate, Series C funded company ($525M valuation) with significant market traction, reportedly used by 50% of US health systems. While the submission itself was low-quality (lazy responses like 'everyone' for audience), the underlying project demonstrates exceptional utility, innovation, and confirmed commercial success well beyond the scale of typical submissions. The score reflects the project's massive real-world impact and 'Unicorn' status, penalized slightly only by the poor quality of the submission text.

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Score Breakdown

Real World Utility+237.5
Audience Reach Impact+170.0
Technical Innovation+135.0
Evidence Of Traction+297.0
Market Timing Relevance+95.0
Functional Completeness+5.0
Subtotal+939.5
Usefulness Multiplierx0.826
Final Score+776

Project Details

Project URL
Description
Rad AI is on a mission to improve patient outcomes and access to quality healthcare by applying state-of-the-art artificial intelligence to radiology, a critical part of medical diagnosis and treatment. Designed by radiologists and for radiologists, our products make life better for both radiologists themselves and the patients they serve. \n\nWe’re maximizing radiologist efficiency and accuracy — decreasing turnaround time for patients while also reducing burnout for radiologists. Our team is comprised of radiology and AI experts, and we take a data-driven and user-centric approach to product development. We are backed by top VC's, and work with a growing network of radiology partners and hospital systems across the United States.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline