Round 1 Winners!
Proof of Usefulness Report

Infolks

Analysis completed on 3/22/2026

+256
Proof of Usefulness Score
Gaining Momentum

Infolks provides highly relevant data labeling services for the booming AI/ML market, supported by valid ISO certifications and a large claimed team size. However, the evaluation is severely penalized by vague, lazy, and exaggerated submission claims ('everyone', 'most people have used my product', and confusing revenue metrics). While the underlying business utility and market timing are strong, the low quality of verifiable evidence and lack of technical innovation significantly limit the final score.

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Score Breakdown

Real World Utility+150.0
Audience Reach Impact+20.0
Technical Innovation+30.0
Evidence Of Traction+18.75
Market Timing Relevance+80.0
Functional Completeness+2.5
Subtotal+301.25
Usefulness Multiplierx0.85
Final Score+256

Project Details

Project URL
Description
Infolks is India's fastest growing outsourcing company with a simple motto “outstanding outsourcing”, majored in all kinds of data labeling services. We are ISO 9001:2015 certified and offer high-quality service for machine learning applications requiring training data. At Infolks, a dedicated team of professionals and data labelers committed to client satisfaction through their performance. Our expertise range over several annotation techniques like Bounding Box, Keypoint, Cuboid, Polygonal, and Polyline Annotation. We are ISO 27001:2013 certified and follow GDPR standards. Other outsourcing services include, Out staffing, Redaction, Software solutions, and BPO. We are providing the best quality services at the lowest hourly rate in the global marketplace.

Algorithm Insights

Market Position
Growing utility with room for optimization
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