Proof of Usefulness Report

Autoinsp

Analysis completed on 2/8/2026

+62
Proof of Usefulness Score
You're In Business

The project 'Autoinsp' corresponds to a legitimate Brazilian B2B insurtech company (Autoinsp LTDA) using AI for fraud detection. However, the submission itself contains severe quality issues and red flags: the submitter uses an unprofessional alias ('ShadowHeart'), falsely claims the audience is 'everyone', and states 'most people have used my product', which is objectively false for a specialized B2B tool. While external search confirms the existence of the technology and partnerships with insurers, the submission's lack of credibility and inaccurate data ('marketcap' instead of revenue, exaggerated team size relative to footprint) heavily penalize the score. The evaluation recognizes the real-world utility of the underlying business but fails the submission on accuracy and professional standards.

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Score Breakdown

Real World Utility+90.00
Audience Reach Impact+20.00
Technical Innovation+75.00
Evidence Of Traction+30.00
Market Timing Relevance+85.00
Functional Completeness+5.00
Subtotal+61.00
Usefulness Multiplierx1.02
Final Score+62

Project Details

Project URL
Description
We help insurers to find more frauds, being more faster and assertive in their claim process by applying IDSim a solution powered by AI and automotive engineering algorithms technologies.

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