Proof of Usefulness Report

Labelbox

Analysis completed on 1/24/2026

+741
Proof of Usefulness Score
Category Standard

Labelbox is a verifiable 'unicorn' status company ($1B+ valuation) in the critical AI data infrastructure market, demonstrating exceptional real-world utility and traction. However, the submission itself was of low quality (incorrect project name 'DeepWing', hyperbolic audience claims like 'most people', and lack of detail), which introduced a penalty. Despite the sloppy entry, the objective verification of Labelbox's market position, revenue scale, and adoption by major enterprises warrants a high score, distinguishing it significantly from smaller-scale projects.

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Score Breakdown

Real World Utility+22.5
Audience Reach Impact+12.8
Technical Innovation+12.0
Evidence Of Traction+23.75
Market Timing Relevance+9.0
Functional Completeness+0.5
Subtotal80.55 (scaled to 805.5)
Usefulness Multiplierx0.92
Final Score+741

Project Details

Project URL
labelbox.com
Description
Labelbox is the simplest platform to train and operate machine intelligence.\n\nLabelbox was founded in early 2018 with a mission to enable organizations to rapidly build artificial intelligence to power the next generation of products and services. The founders of Labelbox experienced first hand the pain of trying to rely on developing and maintaining in-house tools, but also the acceleration and benefits of having a really good one. \n\nLabelbox currently enables many enterprises to easily create and manage data labels for building machine learning applications. You can leverage Labelbox to significantly reduce data labeling costs by eliminating your need to build and maintain in-house machine learning infrastructure. \n\nLearn more at labelbox.com

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