Proof of Usefulness Report

AxonJay.ai

Analysis completed on 2/3/2026

+315
Proof of Usefulness Score
Certified Problem Solver

AxonJay.ai is a legitimate, verifiable B2B deep-tech company based in Brussels, having raised ~$3M (including a €1.5M Seed round in Sep 2024) and winning Google's Startup Cloud Program (2023). However, the project submission itself was of extremely low quality, containing false consumer-facing claims ('most people have used my product', 'everyone') for a specialized B2B tool. While the technology (Green AI, Self-ML) and partnerships (SAP) demonstrate high real-world utility and innovation, the score is heavily penalized by the poor response quality and the gap between the submission's claims and the actual niche B2B reality.

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Score Breakdown

Real World Utility+150.0
Audience Reach Impact+20.0
Technical Innovation+112.5
Evidence Of Traction+62.5
Market Timing Relevance+80.0
Functional Completeness+2.5
Subtotal+427.5
Usefulness Multiplierx0.74
Final Score+315

Project Details

Description
AxonJay is an multi - ‘award-winning’ global AI deep-tech company that developed a trailblazing & unique Self-Machine-Learning Platform, which reveals & predicts companies' true behavior in real-time. It is our mission to make AI and machine learning more accessible and easier to use for any business globally. We are pan-european disruptive start-up with remote virtual offices in Brussels-London-Paris-Stockholm-Zurich-Ljubljana-Copenhagen-Frankfurt-Milan. But we do have super cool historical co-living space in Brussels – AxonJay Tribe HQ, where we often meet and make plans on how to make the world a better place to live. #DisruptWithPurpose #RightHereRightNow

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