Proof of Usefulness Report

Kili Technology

Analysis completed on 1/24/2026

+623
Proof of Usefulness Score
Category Standard

Kili Technology is a verified, high-growth Series A startup (raised ~$30M) providing critical data labeling infrastructure for enterprise AI. Despite the project's strong market position and verifiable adoption by Fortune 500 clients (e.g., Airbus, L'Oréal), the submission itself was of extremely low quality, containing false claims ('everyone', 'most people have used my product') and missing data. The score reflects the high real-world utility and verified external traction, heavily penalized by the poor quality of evidence provided in the input.

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Score Breakdown

Real World Utility+225.0
Audience Reach Impact+80.0
Technical Innovation+127.5
Evidence Of Traction+112.5
Market Timing Relevance+95.0
Functional Completeness+2.5
Subtotal+642.5
Usefulness Multiplierx0.97
Final Score+623

Project Details

Description
Today's challenge to train machine learning models is not to get the data itself - but to get the clean labelled data - to avoid having a \"garbage in garbage out\" loop. While current evolution in AI is powered by machine learning models, this process of data annotation becomes critical. Moreover, even more challenging is getting the know-how to get the most efficient, most flexible, and most cost-effective way to label these data to scale up the projects.\n\nKili Technology serves as the solution to facilitate data annotation for image, video and text for various Computer Vision and NLP tasks with a robust tool to manage data quality and simplify collaboration. We build the simplest and the most versatile labelling tool in the market to create high quality machine learning training datasets for Fortune 500 companies and also SMEs (Bureau Veritas, Carrefour, Crédit Agricole, EDF, Société Générale, VitadX, ...) and to scale up their AI models into production.

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