Proof of Usefulness Report

Clarifai

Analysis completed on 1/17/2026

+568
Proof of Usefulness Score
Industry Mainstay

Clarifai is a legitimate, high-impact Series C artificial intelligence company with significant verified traction (founding team led by ImageNet winner Matt Zeiler, $100M+ funding). However, the specific project submission provided ('ThunderBlade') was extremely low quality, containing vague claims ('most people have used my product') and missing data. The score reflects the massive real-world utility and technical depth of the actual platform, heavily verified via external knowledge, but penalized for the poor quality of the submission evidence.

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Score Breakdown

Real World Utility+165
Audience Reach Impact+102
Technical Innovation+128
Evidence Of Traction+89
Market Timing Relevance+54
Functional Completeness+4
Subtotal+543
Usefulness Multiplierx1.045
Final Score+568

Project Details

Project URL
Description
Clarifai is a leading provider of artificial intelligence for unstructured image, video, and text data. We help organizations transform their images, video, and text data into structured data significantly faster and more accurately than humans would be able to do on their own. Founded in 2013 by Matt Zeiler, Ph.D. Clarifai has been a market leader in AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai continues to grow with employees remotely based throughout the United States and in Tallinn, Estonia. Clarifai is proud to be an equal opportunity workplace dedicated to pursuing, hiring, and retaining a diverse workforce.
Audience Reach
everyone
Target Users
everyone
Technologies
Media Production
Traction Evidence
most people have used my product

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