Proof of Usefulness Report

MoodMe

Analysis completed on 1/26/2026

+366
Proof of Usefulness Score
Certified Problem Solver

MoodMe is a verified B2B Face AI company established in 2011 with substantial traction ($2.6M est. revenue) and major clients (Gucci, FIFA, Qatar Airways). While the submission text was low-effort (e.g., claiming 'everyone' as audience), external validation confirms 2 issued patents and millions of end-user interactions via client apps. The project scores highly on utility, innovation (Edge AI/Privacy), and verifiable traction, despite the poor quality of the input data.

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Score Breakdown

Real World Utility+85
Audience Reach Impact+64
Technical Innovation+81
Evidence Of Traction+85
Market Timing Relevance+30
Functional Completeness+4
Subtotal+349
Usefulness Multiplierx1.05
Final Score+366

Project Details

Project URL
Description
MoodMe provides AR experiences with amazing filters.\nMoodMe provides actionable insights on the video \"next normal\" to improve talent happiness \u0026 productivity.\n\nThe “next normal”\nHumanity is changing habits permanently with a massification of Telework, eLearning \u0026 Telemedicine.\nOrganizations need engagement insights to measure \u0026 improve user experience and productivity.\n\nThe Problems: Poor Insights on engagement @ (tele)work, eLearning, patients’ experiences.\n\nThe Solution: Engagement Insights.\nFace analytics: emotions, attention, participation by demographics (gender age ethnicity). \nBig data. Reports \u0026 dashboards. Engagement metrics, training recommendations. \n\nUSP: Privacy by design: Face AI on Edge. No face stored.\nOnly tool which measures the Gender Race Engagement Gap.\n2 US Patents issued. 4 Patents pending.

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