AI to understand the world around us
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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 } ] } # illustrativeQloo 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
To 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.
LLM & Agent Grounding
Ground any LLM or agent in real-world taste data
Taste & Context
Understand why people like what they like
Localities IQ
Read the cultural shape of a place, from a block to a country
Recommendations
Cross-domain recommendations powered by taste
On-device AI
Instant, private taste intelligence on any device
Data Enrichment
The world's deepest cultural knowledge graph
Industries and sectors
The same cultural world model powers products in very different categories, capable of crossing business sectors.
- Banking and Finance
- CPG
- Entertainment
- Media
- Real Estate
- Retail
- Technology
- Travel and Hospitality
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
