Proof of Usefulness Report

GumGum

Analysis completed on 1/22/2026

+533
Proof of Usefulness Score
Industry Mainstay

GumGum is a well-established, high-revenue ($100M+) adtech company with significant market presence and a verified valuation of ~$700M. The project uses advanced Computer Vision and NLP for contextual advertising, solving a critical industry problem in the post-cookie era. While the submission itself was minimal and low-effort (e.g., vague 'everyone' audience, empty custom tech fields), the verifiability of the entity's massive scale, team size (400+), and market traction drives a high score. The score is penalized solely by the poor quality of the entry data, which obscures specific innovation details, but confirmed external metrics place it firmly in the 'Much larger scale' calibration tier.

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Score Breakdown

Real World Utility+110
Audience Reach Impact+85
Technical Innovation+70
Evidence Of Traction+150
Market Timing Relevance+45
Functional Completeness+2
Subtotal+462
Usefulness Multiplierx1.154
Final Score+533

Project Details

Project URL
gumgum.com
Description
GumGum is an artificial intelligence company specializing in computer vision and natural language processing. The company focuses on applying its AI technology to the fields of advertising and media, providing solutions that enhance the way brands connect with their audiences. GumGum's proprietary technology analyzes images and videos to deliver contextually relevant advertising, ensuring that ads are placed in environments that align with the brand's message and target audience. Additionally, GumGum offers insights and analytics to help brands understand the impact of their advertising efforts. With a commitment to innovation, GumGum aims to transform the digital advertising landscape by making it more effective and engaging.

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