Round 1 Winners!
Proof of Usefulness Report

Entem Inc.

Analysis completed on 3/18/2026

+20
Proof of Usefulness Score
You're In Business

The submission contains highly exaggerated and unsupported claims (e.g., 'most people have used my product', audience reach of 'everyone'), leading to low quality multipliers. While the concept of AI computer vision for emotional intelligence in sports and enterprise has potential market relevance, the lack of verifiable metrics, active user data, and clear revenue figures results in a very low PoU score.

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Score Breakdown

Real World Utility0.25)
Audience Reach Impact0.20)
Technical Innovation0.15)
Evidence Of Traction0.25)
Market Timing Relevance0.10)
Functional Completeness0.05)
Subtotal+21
Usefulness Multiplierx0.95
Final Score+20

Project Details

Project URL
Description
ENTEM is pioneering the frontier of emotional intelligence to better peak performance across sports, entertainment, and enterprises with actionable insights on emotions and engagement. Our team is experienced AI Computer Vision data scientists, software engineers and performance enthusiasts building a proprietary AI technology that leverages AI machine learning to analyze emotions and performance data.

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