Proof of Usefulness Report

Coactive AI

Analysis completed on 1/18/2026

+723
Proof of Usefulness Score
Category Standard

Coactive AI is a legitimate, high-value enterprise AI infrastructure company with verified Series B funding ($44M total) and a $200M valuation as of May 2024. The platform addresses a massive utility gap by making unstructured visual data queryable via SQL. While the technical pedigree (MIT/Stanford founders) and market traction (customers like Fandom and Fortune 500s) are elite, the submission quality was poor—containing hyperbolic claims ('most people have used my product'), incorrect field usage (Market Cap in Revenue), and vague audience definitions. The score recognizes the project's high potential while penalizing the submission's lack of professional detail.

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Score Breakdown

Real World Utility+212
Audience Reach Impact+80
Technical Innovation+162
Evidence Of Traction+270
Market Timing Relevance+90
Functional Completeness+7
Subtotal+822
Usefulness Multiplierx0.88
Final Score+723

Project Details

Project URL
Description
This year, unstructured visual data accounts for more than 82% of all internet traffic. This metric is up from 75% in 2017. Why do businesses struggle to leverage unstructured data? Two reasons: cost and complexity. We are here to fix that by making the masses of unstructured visual data useful by bringing it into the world of SQL and the big data tools that teams already love. Our machine learning tool generates the metadata your images and videos have been missing. Better still, we do it in minutes, not weeks.
Audience Reach
everyone
Target Users
everyone
Technologies
Machine Learning, Analytics, 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