Round 1 Winners!
Proof of Usefulness Report

Vy Corporation

Analysis completed on 3/18/2026

+86.1
Proof of Usefulness Score
You're In Business

The project targets a valid use case in computer vision and robotics but provides vague, unsupported, and highly hyperbolic claims (e.g., 'most people have used my product' and 'everyone' as audience reach). Despite a claimed 24-year history and team of 30, the lack of verifiable traction, confused financial metrics, and poor response quality severely penalize its Proof of Usefulness score, placing it firmly in the minimal traction category.

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Score Breakdown

Real World Utility+50
Audience Reach Impact+5
Technical Innovation+25
Evidence Of Traction+5
Market Timing Relevance+15
Functional Completeness+5
Subtotal+105
Usefulness Multiplierx0.82
Final Score+86

Project Details

Description
Vy is a software company utilizing machine learning to collect hard data from visual imagery involving critical and consequential decisions. Our mission is to make real-world, object-based decision making reliable, affordable, and fun. Our patented technology finds order in real-world imagery and represents this discovered order in a searchable relational database. We start by finding mathematical models of Bezier curves and straight lines. Then we use object models to identify areas and objects of interest. Our key differentiator is highly reliable (99.999% accuracy) search of real world imagery (low contrast, high noise) based upon shape and complex object models. Our services and software are designed to accomplish two important goals: • Generate revenue from more timely, higher quality analytics • Save time and money from traditional manual processes • Fully autonomous robotic operations in real world environments Existing technologies generate too many errors. A significant opportunity exists for technology that can solve the problem of specific object identification with near zero false positives. Vy’s software is designed to work with existing technologies to solve this problem.

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