Proof of Usefulness Report

Keymakr

Analysis completed on 2/4/2026

+667
Proof of Usefulness Score
Category Standard

Keymakr is a well-established (founded 2015) data annotation company with a significant operational footprint (700+ verified employees/annotators) and a proprietary platform, Keylabs.ai. While the project demonstrates high real-world utility and strong market traction typical of a 'Scale-Up' entity, the submission itself was of very low quality, containing false claims (e.g., 'most people have used my product', audience is 'everyone') and missing verifiable revenue data. The score reflects the company's actual robust market position, heavily penalized in the Response Quality and Quality Factor metrics due to the lazy and inaccurate submission data.

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Score Breakdown

Real World Utility+22.50
Audience Reach Impact+12.00
Technical Innovation+9.75
Evidence Of Traction+17.00
Market Timing Relevance+9.50
Functional Completeness+0.25
Subtotal+71
Usefulness Multiplierx0.94
Final Score+667

Project Details

Project URL
keymakr.com
Description
Keymakr provides image and video data annotation, data creation, data collection, and data validation services for AI/ML computer vision projects of any size. The company has the technological infrastructure and expertise to efficiently handle data from all domains.  Keymakr's motto, "Human teaching for machine learning," reflects its commitment to the human-in-the-loop approach. This is why the company maintains an in-house team of over 600 highly skilled annotators. Keymakr's goal is to deliver custom datasets that enhance the accuracy and efficiency of ML systems.  To create precise datasets, Keymakr developed [Keylabs.ai](http://keylabs.ai/) — a powerful enterprise-grade annotation platform that supports all annotation types.

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