The Cultural AI.

Qloo has developed cutting-edge machine learning processes and AI algorithms to predict taste for any target audience and map relationships within and between cultural domains, including: Music, Film, TV, Dining, Nightlife, Fashion, Books, Travel and Tech.

Qloo has mapped more than a quarter-trillion cultural correlations, and makes this intelligence readily available to individuals, developers, and leading brands. Qloo's cultural AI is currently powering personalization and informing key decisions for market leaders in tech, financial services, entertainment, automotive, fashion, CPG and hospitality.

Qloo is headquartered and lovingly built in NYC.

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Business Intelligence

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Qloo

Qloo's headquarters in New York, NY, United States

Alex Elias

James Alger

Julie Paige

Diane Fiddle

Iti Sakharet

The Engineering & Data Team at Qloo is responsible for developing and maintaining the machine learning algorithms and AI processes that analyze and predict cultural tastes. They handle the backend infrastructure, manage and interpret complex data sets, and drive innovation in AI and machine learning research to enhance the accuracy and scope of Qloo's cultural intelligence. This team ensures that Qloo's algorithms continue to provide valuable insights for personalization and decision-making across various cultural domains, benefiting a wide range of industries.

Engineering & Data Team

The Leadership Team at Qloo drives the strategic vision and operational excellence of the company, ensuring that its innovative AI solutions enhance cultural understanding and personalization across multiple domains. Composed of seasoned leaders in technology, design, and business development, the team collaborates to leverage Qloo's vast cultural intelligence, guiding key initiatives that empower clients to make data-driven decisions and enhance consumer experiences. Through their expertise, they position Qloo as a market leader in cultural AI.

Qloo

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Engineering & Data Team

Leadership Team

Offices

Qloo

Org chart

Teams

Engineering & Data Team

Leadership Team

Offices

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