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For over a decade, Qloo has built the world's most comprehensive map of human taste: 3.7 billion entities spanning culture, lifestyle, dining, travel, entertainment, and more, linked by trillions of real-world behavioral signals. Built on proprietary classifications and ontology, this intelligence gives any AI system, from LLMs to autonomous agents to on-device models, structured understanding of real-world preferences. No PII required.
Qloo is how AI understands taste.
Powering intelligence across industries
capabilities
Give any AI system or agent a deep understanding of real-world preferences
Recommendations
Deliver recommendations that understand taste across domains
Most recommendation engines are siloed to a single category. Qloo connects preferences across culture, dining, travel, entertainment, and lifestyle, so you can recommend a hotel based on someone's taste in music, or a restaurant based on the brands they love.
Audience Intelligence
See the complete cultural profile of any audience
Go far beyond demographics and purchase history. Qloo reveals the full spectrum of an audience's cultural affinities: the music, media, brands, destinations, and experiences that define them. This gives you the insight to build strategies that resonate at a deeper level.
Taste Analysis
Understand why people like what they like, and what they'll want next
Qloo maps the hidden connections between seemingly unrelated interests: why fans of a certain film genre gravitate toward specific cuisines, or why listeners of one artist share travel preferences. These cross-domain patterns unlock a level of understanding no survey or analytics tool can provide.
Data Licensing
Enrich your data with the world's deepest cultural knowledge graph
License 3.7 billion structured cultural entities, each enriched with metadata and linked by taste correlations. Add cultural context, preference signals, and cross-domain connections that transform raw customer data into actionable intelligence.
LLM Integration
Ground your LLMs and AI agents in real-world taste intelligence
LLMs generate language. Agents take action. Qloo gives both the structured preference intelligence required for reliable, relevant decisions. Ground your models and agents in continuously updated taste data so every output, recommendation, and action reflects what people actually want.
On-Device AI
Run taste intelligence on-device, instantly and privately
Deploy Qloo's compact models directly on phones, tablets, and edge devices for instant personalization with no cloud dependency. Users get relevant, culturally aware experiences while their data never leaves the device: the standard that leading platforms now demand.
Qloo's Taste AI™ engine combines the world's largest cultural knowledge graph with proprietary consumer signals and purpose-built models. Whether powering language models, autonomous agents, or on-device inference, Qloo provides the structured preference layer that makes AI systems more relevant, reliable, and personal.
The world's richest cultural knowledge graph
3.7B+ people, places, brands, and cultural entities
Continuously curated for over a decade, Qloo's proprietary entity catalog spans restaurants, hotels, music, film, TV, books, podcasts, brands, destinations, and more. Each record is enriched with structured metadata and connected by taste relationships that reveal how culture actually works.
Proprietary behavioral intelligence
10T+ anonymized preference signals from real-world behavior
Trillions of first-party and permissioned behavioral signals, including transactions, interactions, sentiment, and location patterns, train our models on how real people actually make choices. Fully anonymized, zero PII, compliant with GDPR, CCPA, and beyond.
Cross-domain taste models
Purpose-built embedding models map the relationships between billions of entities across every cultural domain, creating multi-dimensional taste vectors that predict preferences, surface hidden affinities, and transfer knowledge from one domain to another. The result is explainable, deterministic inference built on structured relationships, not black-box generation. These capabilities extend beyond what general-purpose language models are designed to provide.
How taste intelligence drove a 273% increase in bookings
Michelin's Tablet Hotels needed to go beyond generic location-based suggestions. By integrating Qloo's cross-domain taste intelligence, they matched each hotel's unique character to guests' cultural profiles, aligning style, design, and experience preferences to deliver recommendations that felt personally curated.
Qloo allows us to take into account each hotel’s unique profile, style, and design to create guides that are truly personalized for guests. While testing Qloo’s AI, we saw bookings skyrocket by 273%, demonstrating the immense power of their solution.
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