Qloo’s award-winning Taste AI technology leverages cutting-edge machine learning to understand and predict audiences’ interests with unparalleled accuracy and complete anonymity.
Taste AI is trained on:
3.7B+ lifestyle entities
Notable people, places, things, and interests
10T+ anonymized sentiment signals
Transactions, locations, interactions, demographics, and psychographics
Deep cultural intelligence at scale
Our sophisticated solution is powered by an extensive repository of more than 3.7 billion cultural touchpoints and trillions of behavioral signals, more than ten years in the making.
Compliant at its core
Qloo’s models operate without any personally identifiable information (PII), ensuring complete compliance with major data protection regulations like GDPR and CCPA.
Learning at the speed of change
Our robust database is continuously hydrated to ensure that our insights remain current and in touch with the latest trends.
Seamlessly integrated, effortlessly informed
Our API is designed for easy integration and minimal maintenance, allowing you to focus on leveraging the insights rather than managing the technology.
Qloo's Taste AI intelligence engine harnesses advanced AI to find and understand relationships between our rich database of lifestyle entities and our anonymized consumer behavior and sentiment data.
Proprietary lifestyle entity database
With over a decade of meticulous curation, Qloo’s proprietary entity catalog consists of more than half a billion records enhanced with detailed metadata and refined through advanced data structuring and normalization.
Anonymized behavior and sentiment database
Our behavior and sentiment database empowers our models to develop precise correlations and nuanced understandings of consumer behaviors and preferences, all while strictly adhering to privacy regulations like GDPR and CCPA.
Powered by entities, not identities
Our intelligence engine does not ingest any PII
All predictions are generated using completely anonymized consumer data, requiring no Personally Identifiable Information (PII) and ensuring full compliance with current and future privacy standards.
Qloo’s technology is fully compliant with privacy legislation
Compliance with major data protection regulations like GDPR and CCPA is built into Qloo’s architecture, making it inherently privacy-centric and globally compliant.
Future-proofed for evolving data privacy
Partner with Qloo for compliance assurance and future-proofing against the evolving global data privacy landscape. Our proprietary approach to managing and owning our corpus and training data puts us ahead of the curve in AI regulation. We have no reliance on third-party AI services, ensuring that our personalization pathways remain robust and reliable.
Qloo uses proprietary predictive and generative AI models to uncover and predict consumer tastes and preferences. We leverage AI to make sense of our massive cultural database and globe-spanning consumer behavior data, looking for patterns in the data and making predictions about how much interest a person or group will have in a concept or thing. To learn more, check out our blog post explaining how Taste AI works, and read more about our AI and machine learning here.
Qloo’s data comes from a variety of diverse data sources, including proprietary first-party data, exclusive partnerships, and rigorously selected third-party data. Read more about where Qloo's data comes from on our blog.
Qloo’s intelligence can be accessed via API or through our self-service insights platform. You can also use data warehouses such as Snowflake, data lakes such as AWS S3, or standard network protocols such as FTP to access Qloo’s data. For extended compatibility, Qloo supports integration with data clean rooms, Customer Data Platforms (CDPs), visualization platforms like Tableau, and CRM platforms like Salesforce, ensuring you can connect Qloo’s insights with any third-party tooling to enhance your business intelligence.
Qloo’s models are powered by structured, factual user and cultural data, while LLMs are trained on massive amounts of freeform text. LLMs like ChatGPT are designed to generate text based on patterns learned from the text data it was trained on. As a result, they have major limitations—most notably, they hallucinate, returning convincing information to their users that is inaccurate or nonsensical. Qloo’s Taste AI, on the other hand, is grounded in truth—powered by user behavior and drawing from structured, comprehensive databases. It doesn't speculate based on thematic content but provides precise recommendations based on real user data and preferences. For more information about how Qloo differs from LLMs and how Taste AI can enrich your generative AI strategy, explore our LLM integration offerings.
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