Round 1 Winners!
Proof of Usefulness Report

P AI Screen Limited

Analysis completed on 3/10/2026

+11.48
Proof of Usefulness Score
You're In Business

The project outlines a valid B2B use case for chargeback detection using AI, but the submission is severely undermined by vague, exaggerated, and contradictory claims. Asserting that 'everyone' is the target audience and that 'most people have used my product' directly conflicts with its nature as an enterprise issuing bank solution. The nonsensical revenue metric ('all time marketcap: 500000') and poor response quality result in a very low overall score, penalizing the unverified traction and low-effort documentation.

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Score Breakdown

Real World Utility+7.50
Audience Reach Impact+1.00
Technical Innovation+2.25
Evidence Of Traction+0.00
Market Timing Relevance+2.50
Functional Completeness+0.25
Subtotal+13.5
Usefulness Multiplierx0.85
Final Score+11

Project Details

Project URL
Description
pAIscreen is a real-time transaction screening and chargeback detection solution for Issuing Banks. Harnessing artificial intelligence, pAIscreen utilises proprietary data to analyse whether a billing descriptor is associated with fraud, high chargeback rates or illegal products to instantly identify the probability that a transaction will become a chargeback.

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