Round 1 Winners!
Proof of Usefulness Report

Grape Vision Ltd.

Analysis completed on 3/10/2026

+11.4
Proof of Usefulness Score
You're In Business

GrapeVision presents a valid use case for AI in agriculture, but the submission contains highly questionable and unrealistic claims, such as stating 'most people have used my product' for a niche B2B tool and listing an all-time market cap of 50000. Due to a lack of verifiable traction, vague answers, and contradictory data, the project receives a very low score.

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Score Breakdown

Real World Utility+6.25
Audience Reach Impact+1.0
Technical Innovation+3.0
Evidence Of Traction+0.0
Market Timing Relevance+1.5
Functional Completeness+0.25
Subtotal+12
Usefulness Multiplierx0.95
Final Score+11

Project Details

Description
GrapeVision is a University of British Columbia startup company that uses artificial intelligence and data science solutions for early detection and management of crop diseases. Our early development has focused on developing real-time automated AI systems for farmers and vineyards to maximize crop yield.

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