Proof of Usefulness Report

CleeAI

Analysis completed on 2/5/2026

+63
Proof of Usefulness Score
You're In Business

CleeAI is an early-stage B2B enterprise AI startup based in London, founded by a former CERN physicist (Forbes 30 Under 30). The project claims to use a proprietary 'Large Knowledge Model' (LKM) to build compliant AI agents. While the company appears legitimate with seed funding (~€500k-1M) and a beta program for 100 enterprises, the project submission itself was of extremely low quality, containing false claims (e.g., 'most people have used my product', 'audience reach: everyone') and nonsensical metrics ('marketcap: 50000'). The Proof of Usefulness score reflects the project's high potential utility and technical pedigree, severely penalized by the lack of verified mass traction and the deceptive nature of the submission data.

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Score Breakdown

Real World Utility+24.0
Audience Reach Impact+2.4
Technical Innovation+13.5
Evidence Of Traction+6.0
Market Timing Relevance+9.0
Functional Completeness+0.25
Subtotal+55.15
Usefulness Multiplierx1.15
Final Score+63

Project Details

Project URL
cleeai.com
Description
CleeAI | The AI That Builds AI CleeAI is the infrastructure layer for enterprise AI — a platform where AI builds AI. Powered by our proprietary Large Knowledge Model (LKM™), CleeAI transforms plain-language business intent into fully deployable, compliant, and explainable AI agents — in minutes, not months. We power AI-native infrastructure for financial institutions, real estate firms, consultancies, and global enterprises. From onboarding automation and due diligence to wealth intelligence and customer engagement, CleeAI converts internal knowledge and workflows into deployable multi-agent systems. Our LKM replaces brittle stacks with explainable, self-building AI — reducing development time, cost, and risk. Use CleeAI to turn intent into production-grade intelligence — fast, auditable, and fully owned by your team. Build Enterprise AI. Fast.

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