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Qloo

AI-powered recommendation API

Qloo logo
21-100 employees
  • B2B
  • Artificial Intelligence
  • Machine Learning
  • SaaS
  • API
Bowery, New York, NY

Company mission

To understand culture and taste on a global basis.

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Our take

Powered by artificial intelligence, Qloo is aiming to understanding taste and cultural correlations. While giants like Spotify, Expedia and Netflix dominate their sectors, they inadvertently create "data silos", where valuable information remains isolated. A unified system, however, could help understand and predict diverse personal tastes across various domains.

To confront this, Qloo provides companies with AI-generated correlation data spanning numerous cultural and entertainment domains. Leveraging its platform, a user's taste in one category or genre can seamlessly inform recommendations in another, leading to more personalized experiences. For example, Starbucks is using Qloo to create in-store music playlists tailored to specific neighborhoods, enhancing customer engagement.

With an influx in funding over 2023 and 2024, Qloo plans to introduce an accessible self-service interface, aiding small and mid-sized enterprises in charting consumer and taste analytics. Additionally, it has introduced the "multi-person recommendation AI", capable of matching profiles based on individual preferences stored in its database, which further solidifies its position as a leader in personalized recommendation solutions.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Benefits

  • Health insurance, retirement plan, and paid time off
  • Opportunities for professional development and growth
  • A collaborative and supportive work environment where your ideas are valued and your contributions recognized
  • Flexible work arrangements - we encouraging employees to maintain a well-rounded lifestyle

Company values

  • Teamwork
  • Open communication
  • Mutual respect

Leadership

Previously served as a Principal at APE Capital for 4 years before founding Qloo in 2012.

Jobs (5)

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Data

People, HR, Recruitment