Round 1 Winners!
Proof of Usefulness Report

Braviithi Technologies

Analysis completed on 3/18/2026

+80.04
Proof of Usefulness Score
You're In Business

Braviithi claims to offer an automated diabetic retinopathy diagnostic tool, addressing a valid medical need. However, the submission is heavily undermined by vague and highly exaggerated claims (e.g., citing 'everyone' as the target audience and claiming 'most people have used my product'). There is zero verifiable evidence of traction, regulatory approval, or clinical validity for what is classified as a medical device. The 2015 launch date combined with a lack of quantifiable progress and unsupported revenue/market cap metrics suggests minimal real-world impact.

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Score Breakdown

Real World Utility+37.5
Audience Reach Impact+2.0
Technical Innovation+15.0
Evidence Of Traction+1.25
Market Timing Relevance+30.0
Functional Completeness+1.25
Subtotal+87
Usefulness Multiplierx0.92
Final Score+80

Project Details

Project URL
Description
Around 35% of diabetic patients suffered retinopathy, improved diagnostics and therapeutic strategies are needed to help these patients. Our technology facilitates, improves and supports the specialist decision and further referrals to ophthalmologist and diabeticians. Our mission is to accelerate breakthroughs for this approach by helping doctors leverage the ocular images to deepen understanding of disease biology and enhance the diagnostic. Our vision is to create unique patient profiles for an individualized standard of care, where patients experience faster and accurate diagnostics, fewer side effects and live longer. Braviithi is an innovation-driven image analysis company that focuses on the detection of diabetic retinopathy. At Braviithi we developed an innovative, automated, diabetic retinopathy diagnostic technology. We have been working on improving and master the product design and development since September 2015 and now we can introduce a completed and finished product which is not hungry on training data sets unlike other machine learning technologies which have voracious appetite for data to be optimized.

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