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Proof of Usefulness Report

Ontologics Data

Analysis completed on 3/17/2026

+196
Proof of Usefulness Score
Gaining Momentum

Ontologics Data targets a valuable niche in AI-driven patent and academic research analysis. However, the submission is severely undermined by exaggerated and unsubstantiated claims, such as stating 'everyone' is the target audience and 'most people have used my product'. With a 30-person team and a 2017 launch, concrete verifiable metrics should be available. The penalty in quality factors reflects the poor response quality and lack of credible traction evidence, relegating the score to the 'small but promising / minimal verified traction' tier.

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Score Breakdown

Real World Utility+87.5
Audience Reach Impact+5.0
Technical Innovation+60.0
Evidence Of Traction+2.5
Market Timing Relevance+50.0
Functional Completeness+1.0
Subtotal+206
Usefulness Multiplierx0.95
Final Score+196

Project Details

Description
The Ontologics proprietary platform uses machine learning to analyze over 120 million patent filings and over 45 million global academic references to identify emerging technologies, create competitive analysis, and enable you to make opportunistic business decisions.

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