Proof of Usefulness Report

AI Sight

Analysis completed on 2/12/2026

+51
Proof of Usefulness Score
You're In Business

The project addresses a critical healthcare need (diabetic retinopathy screening) with significant real-world utility and strong market relevance. However, the submission is severely undermined by low-quality, hyperbolic, and unverifiable claims regarding traction and audience reach. The statement 'most people have used my product' is factually incorrect for a specialized medical tool, and the email address suggests a student submission rather than an official corporate entry. While the underlying technology concept is promising, the 'Proof' of usefulness is missing due to the lack of credible evidence provided.

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Score Breakdown

Real World Utility+25.5
Audience Reach Impact+2.0
Technical Innovation+11.25
Evidence Of Traction+1.25
Market Timing Relevance+8.0
Functional Completeness+0.5
Subtotal+48.5
Usefulness Multiplierx1.05
Final Score+51

Project Details

Project URL
ai-sight.co.uk
Description
Ai Sight provides software to interpret retinal images to make eye screening available worldwide and prevent vision loss caused by diabetes. Ai Sight is a healthcare technology company dedicated to preventing unnecessary blindness in people with diabetes through innovative Ai solutions. With diabetes projected to affect over 600 million people by 2030 and a global shortage of eye health professionals and screening resources, we've developed pragmatic software that seamlessly integrates with existing healthcare systems and camera equipment to analyse retinal photographs quickly and accurately. Our unique artificial intelligence approach creates robust intellectual property protection while supporting clinicians in early disease detection, streamlining medical records integration, and providing clear results. The technology also supports clinical trials with data collection and analysis capabilities, addressing the World Health Organisation's call for nationwide screening programmes despite resource constraints.

Algorithm Insights

Market Position
Growing utility with room for optimization
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