Round 1 Winners!
Proof of Usefulness Report

Presaj

Analysis completed on 3/19/2026

+20.9
Proof of Usefulness Score
You're In Business

The project targets a valid problem in healthcare risk assessment but severely lacks credible evidence of execution. The claim that 'most people have used my product' for a niche healthcare B2B tool is implausible and unsubstantiated. Key details regarding custom technical implementation, active users, and business type are omitted, resulting in heavily penalized scores (Quality Factor 0.5) across traction, reach, technical innovation, and response quality.

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Score Breakdown

Real World Utility+10.00
Audience Reach Impact+1.00
Technical Innovation+3.00
Evidence Of Traction+1.25
Market Timing Relevance+3.50
Functional Completeness+0.25
Subtotal+19
Usefulness Multiplierx1.1
Final Score+21

Project Details

Project URL
Description
Presaj is an IT healthcare innovation leader that specializes in establishing personalized risk assessments for medical providers by combining artificial intelligence/machine learning with engineering principles and clinical expertise to prevent medical complications. The system augments healthcare’s existing standardized, outcome-oriented tools with cost-effective, customized, process-oriented tools. Presaj analyzes risk using techniques from high-risk industries (e.g., aerospace, nuclear power) and customizes this data for each patient and care facility to reflect their unique needs and risk profiles.

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