Proof of Usefulness Report

Qloo

Analysis completed on 2/15/2026

+807
Proof of Usefulness Score
Unicorn Utility

Qloo is a verified Series C artificial intelligence company with over $75M in funding and major enterprise clients including Netflix and PepsiCo. External verification confirms it owns TasteDive (consumer reach) and offers a robust B2B personalization API. However, the submission itself was of poor quality, citing inaccurate financials ('17M market cap' vs. likely $200M+ valuation) and vague traction claims. The score reflects the project's high verified utility and scale, slightly dampened by the lack of care in the submission data.

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Score Breakdown

Real World Utility+225.0
Audience Reach Impact+170.0
Technical Innovation+127.5
Evidence Of Traction+213.75
Market Timing Relevance+95.0
Functional Completeness+10.0
Subtotal+841.25
Usefulness Multiplierx0.96
Final Score+807

Project Details

Project URL
Description
Qloo's Taste AI decodes consumer preferences. We are a leading AI-powered personalization engine for cultural preferences, providing completely anonymized consumer taste data and recommendations for leading companies in the tech, entertainment, publishing, retail, travel, hospitality and CPG sectors. Qloo’s proprietary Taste AI predicts consumers' preferences and tastes across over a dozen major categories, including music, film, television, podcasts, dining, nightlife, fashion, consumer products, books, and travel. Launched in 2012, Qloo combines the latest in machine learning, theoretical research in Neuroaesthetics, and one of the largest pipelines of detailed taste data —and makes all of this intelligence available through an API. By allowing companies to understand and connect with their target customers more effectively, Qloo helps its clients solve real-world problems such as driving sales, saving money on media buys, choosing real estate locations, and building brands. Qloo is the parent company of TasteDive, a cultural recommendation engine and social community that allows users to discover what to watch, read, listen to, and play based on their existing unique preferences.

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