Proof of Usefulness Report

COMPREDICT

Analysis completed on 2/4/2026

+301
Proof of Usefulness Score
Certified Problem Solver

COMPREDICT is a high-potential deeptech startup with verifiable B2B traction (Renault, Alpine, BlackBerry) and significant funding ($20M+ Series B). However, the project submission itself was extremely low quality, containing hallucinations (claiming 'everyone' as the audience and 'most people' have used it). The score reflects the strong underlying utility and proven technology, heavily penalized by the poor accuracy and laziness of the submission data.

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Score Breakdown

Real World Utility+106.25
Audience Reach Impact+30
Technical Innovation+66
Evidence Of Traction+47
Market Timing Relevance+45
Functional Completeness+2.5
Subtotal+296.75
Usefulness Multiplierx1.015
Final Score+301

Project Details

Project URL
compredict.ai
Description
COMPREDICT is a German pioneer in AI-powered Virtual Sensor technology, developing intelligent algorithms that transform existing vehicle signals into valuable insights without additional hardware. Their core focus areas include enabling new software-defined vehicle capabilities, replacing costly physical sensors with virtual ones for automotive manufacturers, and strengthening the after-sales business with virtual sensors for tire and brake wear. Founded as a spin-off from TU Darmstadt, COMPREDICT aims to make vehicles more intelligent and sustainable by extracting maximum value from existing data.

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