Qloo
Predictive consumer insights from cultural data analysis.. [Contact for Pricing]
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What is Qloo?
Qloo is the leading AI company that powers advanced personalization and consumer insights through its proprietary Taste AI™ technology, which understands and predicts global consumer tastes and preferences. The company operates the world's largest cultural knowledge graph with 3.7 billion entities spanning culture, lifestyle, dining, travel, and entertainment, linked by over 10 trillion anonymized behavioral signals. Qloo provides AI systems, from LLMs to autonomous agents to on-device models, with structured understanding of real-world preferences without requiring any Personally Identifiable Information (PII).
Key features include cross-domain recommendations that connect preferences across culture, dining, travel, and lifestyle; audience intelligence revealing complete cultural profiles beyond demographics; taste analysis mapping hidden connections between seemingly unrelated interests; data licensing for enriching datasets with cultural knowledge; LLM and agent integration for grounding models in real-world taste intelligence; and on-device AI deployment for instant personalization with no cloud dependency. The technology is accessible via API, self-service insights platform, data warehouses like Snowflake, data lakes like AWS S3, and integrates with data clean rooms, CDPs, Tableau, and Salesforce.
Qloo serves multinational companies across tech, entertainment, publishing, retail, travel, hospitality, and CPG sectors. Clients include Netflix, Starbucks, JCDecaux, and Michelin, who use Qloo to drive growth through personalized customer experiences, superior recommendations, data-driven marketing strategies, and advanced audience intelligence. Qloo is also the parent company of TasteDive, a cultural recommendation engine and social community with over 7 million active users.
The technology is built on proprietary classifications and ontology, continuously curated for over a decade since Qloo's founding in 2012 by Alex Elias and Jay Alger. Taste AI is fully privacy-compliant, GDPR certified, and CCPA compliant, operating without any personally identifiable information and ensuring complete compliance with major data protection regulations.
Qloo pricing
Pricing model: Freemium
Qloo does not display public pricing on its website. Access requires scheduling a demo with Qloo experts to receive detailed information about Taste AI, examples of measurable outcomes, and guidance for accessing data intelligence via API or insights platform. The company serves enterprise clients including Netflix, Starbucks, and Michelin, suggesting enterprise-level pricing. Options include API access, self-service insights platform, data licensing, and integration with data warehouses (Snowflake), data lakes (AWS S3), data clean rooms, CDPs, and CRM platforms. No free tier is mentioned.
Qloo pros
- 3.7 billion cultural entities in knowledge graph
- 10 trillion anonymized behavioral signals for training
- Zero PII required - fully privacy-compliant
- GDPR certified and CCPA compliant
- Cross-domain recommendations across 12+ categories
- Works with LLMs, autonomous agents, and on-device models
- Real-time API with standard protocols
- Integrates with Snowflake, AWS S3, Salesforce, Tableau
- On-device deployment for instant personalization
- Award-winning Taste AI technology since 2012
- Explains why people like what they like
- No third-party AI service dependencies
- Continuously updated database with real-time results
- Proven 273% increase in hotel bookings for Michelin
- Parent company of TasteDive with 7M+ active users
- Custom catalog onboarding for existing architectures
- Data licensing available for enrichment
Qloo cons
- No free tier - requires demo/contact for access
- Pricing not publicly disclosed on website
- Enterprise-focused - may not suit small businesses
- API access requires bespoke documentation setup
- No self-serve pricing plans visible
- Requires integration work with existing platforms
- Limited to cultural/lifestyle domains
- No developer sandbox mentioned for testing
Frequently asked questions about Qloo
Is Qloo a personalization platform or algorithm?
Qloo's Taste AI is a privacy-compliant, cultural intelligence engine that provides highly nuanced data about global consumers' preferences. This knowledge is used by customers to power personalized experiences, recommendations, and marketing. The Taste AI engine is accessible via API and can be integrated into existing or third-party personalization platforms and algorithms.
How do I access Qloo's taste data?
The Taste AI engine is accessible via a real-time API with standard protocols that work with all common applications. Customers are provided bespoke documentation based on their needs and can start producing output immediately. Qloo's technology has been successfully integrated into many platforms, from high-traffic websites and internal reporting tools to embedded systems and mobile apps.
Where does Qloo's data come from?
Qloo's data pipeline includes proprietary data streams and third-party sources. At the core is the proprietary TasteDive first-party dataset from their recommendation app. There's also a proprietary, structured, continuously updated entity database with 575M+ objects. Qloo has proprietary data learning rights with customers and ingests sentiment data from multiple third-party sources including reviews, location data, and web interaction data.
Does Qloo use personally identifiable information (PII)?
No. Qloo's models operate without any personally identifiable information (PII), ensuring complete compliance with major data protection regulations like GDPR and CCPA. All predictions are generated using completely anonymized consumer data, requiring zero PII and ensuring full compliance with current and future privacy standards.
What categories does Qloo cover?
Qloo's Taste AI predicts consumers' preferences and tastes across over a dozen major categories including music, film, television, podcasts, dining, nightlife, fashion, consumer products, books, travel, restaurants, hotels, and brands. The entity catalog spans culture, lifestyle, dining, travel, and entertainment.
How is Qloo different from LLMs like ChatGPT?
Qloo's models are powered by structured, factual user and cultural data, while LLMs are trained on massive amounts of freeform text. LLMs hallucinate and return inaccurate information. Qloo's Taste AI is grounded in truth—powered by user behavior and drawing from structured, comprehensive databases. It provides precise recommendations based on real user data and preferences rather than speculating based on thematic content.
How does Qloo ensure data privacy compliance?
Compliance with GDPR and CCPA is built into Qloo's architecture, making it inherently privacy-centric and globally compliant. The technology is fully privacy-compliant, operates without PII, and Qloo has no reliance on third-party AI services. Their proprietary approach to managing and owning their corpus and training data puts them ahead of the curve in AI regulation.
What companies use Qloo?
Since 2012, Qloo has helped multinational companies including Netflix, Starbucks, JCDecaux, and Michelin drive growth through personalized customer experiences and large language models. Michelin's Tablet Hotels saw bookings increase by 273% after integrating Qloo's cross-domain taste intelligence for personalized hotel recommendations.
Can I integrate Qloo with my existing tools?
Yes. Qloo's API is designed for easy integration and minimal maintenance. The technology supports integration with data warehouses like Snowflake, data lakes like AWS S3, standard network protocols like FTP, data clean rooms, Customer Data Platforms (CDPs), visualization platforms like Tableau, and CRM platforms like Salesforce, ensuring connection with any third-party tooling.
How often is Qloo's data updated?
The database is continuously hydrated to ensure consumer insights remain current and in touch with the latest trends. High-priority data sources like popular venues or trending topics are updated more frequently, often daily, to accurately convey real-time sentiment. Other sources are refreshed on a weekly or monthly basis depending on their volatility and impact on the models.