Proof of Usefulness Report

Mind AI

Analysis completed on 2/2/2026

+305
Proof of Usefulness Score
Certified Problem Solver

Mind AI is a verifiable deep-tech company (founded 2017, Seoul) developing a patented 'canonical' data structure for neuro-symbolic AI. While the project holds significant potential and has raised ~$7M in funding with a team of ~40, the submission itself was of very poor quality, containing demonstrable falsehoods (e.g., claiming 'most people have used my product' and listing 'construction' as a primary technology). The score reflects the legitimacy of the underlying technology and patents, balanced against the niche B2B nature of the actual traction and the low credibility of the submission data.

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Score Breakdown

Real World Utility+18.75
Audience Reach Impact+6.40
Technical Innovation+15.30
Evidence Of Traction+15.00
Market Timing Relevance+8.00
Functional Completeness+0.25
Subtotal63.70 (Weighted Sum)
Usefulness Multiplierx0.96
Final ScoreNaN

Project Details

Description
Mind AI is an artificial intelligence engine and an ecosystem that was created to offer an entirely new approach to AI. Rather than building an architecture that requires parallel processing, supercomputers, and large amounts of data, we built its core reasoning engine based on an internationally patented, completely new data structure that we call a canonical. For the latest information about Mind AI, join us on Telegram: https://t.me/MindAI Website: mind.ai Telegram: https://t.me/MindAI Medium: https://medium.com/@Mind_AI Facebook: https://www.facebook.com/OfficialMindAI E-Mail: info@mind.ai

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