Proof of Usefulness Report

DiGEiZ

Analysis completed on 1/19/2026

+492
Proof of Usefulness Score
Industry Mainstay

DiGEiZ is a verifiable, revenue-generating company (approx. €2.5M ARR) offering advanced AI/Computer Vision analytics for the retail sector. While the submission quality was extremely poor (containing false claims like 'everyone' for audience and lacking financial data), external due diligence confirms the project is a mature B2B solution deployed in over 25 shopping centers across Europe. The score reflects the strong underlying business fundamentals and technology, heavily penalized by a low quality factor on the submitted evidence.

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Score Breakdown

Real World Utility+200
Audience Reach Impact+50
Technical Innovation+112
Evidence Of Traction+100
Market Timing Relevance+70
Functional Completeness+2
Subtotal+535
Usefulness Multiplierx0.92
Final Score+492

Project Details

Project URL
digeiz.com
Description
DiGEiZ is a technology company that specializes in providing advanced analytics solutions for the retail industry. Utilizing cutting-edge computer vision and artificial intelligence, DiGEiZ offers retailers insights into customer behavior and store performance without the need for intrusive hardware. Their solutions help businesses optimize store layouts, improve customer experiences, and increase sales by delivering real-time data and actionable insights. With a focus on innovation and efficiency, DiGEiZ aims to transform the way retailers understand and interact with their customers.
Audience Reach
everyone
Target Users
everyone
Technologies
Analytics, Business Development, Entrepreneurship
Traction Evidence
most people have used my product

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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