AI to understand the world around us
Book a DemoTrusted by leading companies across industries
Qloo combines the world’s most detailed cultural graph with proprietary taste intelligence, modeling both the intrinsic character of things and people’s affinities between them
Privacy-first cultural intelligence layer for AI systems and agents
Grounded in reality and aligned to people
For AI to act on someone’s behalf, it needs to understand what they like, value, and the context behind their choices. Qloo grounds AI systems and agents in a deep, structured understanding of the world and human taste, helping them make decisions that reflect what matters to the people they serve.
- 600M+ structured cultural entities across media, commerce, and places worldwide
- 30T+ real-world sentiment signals and cross-category joins
- No PII - powered by entities, not identities
- Privacy-first by design, compliant with privacy legislation
- Cross-domain taste models accessible via API
curl "https://api.qloo.com/v2/insights" \
-H "x-api-key: $QLOO_API_KEY" \
-G --data-urlencode "filter.type=urn:tag" \
--data-urlencode "signal.interests.entities=\ urn:entity:place:balthazar,\
urn:entity:artist:brian-eno,\
urn:entity:brand:jil-sander,\
urn:entity:destination:kyoto,\
urn:entity:book:in-praise-of-shadows,\
urn:entity:movie:lost-in-translation,\
urn:entity:videogame:journey" \
--data-urlencode "take=6"
# → the weighted tags behind FIG. 4
{ "results": [
{ "tag": "minimalist interiors", "affinity": 0.92 },
{ "tag": "ambient & modern-classical", "affinity": 0.89 },
{ "tag": "structural fashion", "affinity": 0.87 } ] } # illustrativeTo illuminate the convergence of people, places, and things
Across the globe, down to the street - Qloo has data covering the planet and can differentiate consumer preferences to a precision of hundreds of feet.
Taste context
Connect tastes to explore the cultural qualities of a combination and the additional affinities it points toward.
CONNECT TASTES. SEE THE PICTURE CHANGE.
Tap a taste to pull it in.
Predictive Inference
Additional tastes and cultural qualities inferred from this combination.
Grounded by Qloo
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Different surfacesOne compounding system
Capabilities
Every Qloo capability is powered by the same structured cultural world model, proprietary preference intelligence, and decision layer.
Deploy one surface or combine several. The intelligence underneath remains connected.
Cultural Data Enrichment
The world's deepest cultural knowledge graph
Taste Intelligence
Understand why people like what they like
Recommendations
Cross-domain recommendations powered by taste
Locality Intelligence
Read the cultural shape of a place, from a block to a country
AI & Agent Grounding
Ground any LLM or agent in real-world taste data
On-Device Intelligence
Instant, private taste intelligence on any device
Industries and sectors
Taste crosses categories, so one ontology serves very different businesses. Wherever people choose, what they’re drawn to is the same question.
- Banking and FinanceRewards, offers and partners chosen by what people love, not by transaction code
- CPGWhich products belong in which stores, and what to launch next
- EntertainmentDiscovery across catalogs, from a single title outward
- MediaPlanning and personalization by taste, with no cookies and no profiles
- Real EstateWhich tenants and concepts fit a place, before anything is built
- RetailAssortment and merchandising that fit the neighborhood and the person
- TechnologyGrounding for assistants and agents, and personalization on the device
- Travel and HospitalityRecommendations that fit a traveler’s taste, from dining to destinations
See how teams in these sectors put it to work. Read the client stories
14+
Years of ontology maturation
30K+
API requests / second at peak
600M+
Structured entities
30T+
Cross-domain co-occurrences
Privacy as a system boundary, not a policy layer
Qloo was built from the beginning around a simple premise: cultural relevance can be inferred from entities, relationships, and context without maintaining identity-level consumer profiles.
Intelligence without identity
Ethical AI
Qloo maintains a bright architectural line between cultural intelligence and consumer identity.
Because inference is deterministic and built on structured relationships rather than black-box generation, every result can be explained: which entities, which attributes, which affinities. That is what makes it ethical AI in practice, not just in policy.
No consumer identity graph
Qloo models culture and preference, not individual identities
Stateless inference
Each request is evaluated from the context supplied at that moment
No direct identifiers required
No names, emails, phone numbers, or device identifiers are needed
Anonymized learning
Permitted model improvement occurs through anonymized taste arrays
