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The semantic place graph for AI-native discovery

What Google Maps is to human travellers, Evendo is for AI.

Evendo maps the real world as structured semantic intelligence — enabling AI systems to discover, reason, and act on real-world intent.

Explore the graphExplore coverage
2M+mapped places
150+semantic attributes
65experiential vectors
Graph-powered discovery demo

AI-native discovery starts with understanding nuanced place intent.

This demo shows how Evendo can move beyond category search and surface places by location, context, and experiential fit.

Refine by experiential vectors

These controls show the semantic depth behind Evendo's graph. Adjust any vector to demonstrate how AI can reason beyond ordinary place categories.

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Child Friendly
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Senior Friendly
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Solo Friendly
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Solo Female Friendly
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Couple Friendly
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Group Friendly
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Business Friendly
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LGBT Friendly
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Romantic
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Honeymoon-worthy
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Relaxing
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Tranquil
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Lively
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Fun-filled
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Adventurous
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Quirky
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Unique
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Casual
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Mindfulness
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Meditation Spot
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Cultural Heritage
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Photowalk
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Adventure Photo Shoot
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Roadtrip Stop
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Day Trip
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Weekend Getaway
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Any Weather
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Rain / Wet Weather
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Hot Weather
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Cold Weather
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Clear Skies
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Windy Conditions
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Snow
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Low-Visibility Conditions
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Modern Designs
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Minimalist Designs
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Industrial Designs
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Bohemian Styles
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Historic
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Art & Design
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Landmarks
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Heritage Neighborhoods
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Instagrammable
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TikTok-Friendly
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Photo Spots
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Selfie Spots
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Aesthetic Corners
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Viral Moments
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Reel-Friendly
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Architectural Shots
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Easy Access
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Wheelchair Access
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Public Transport Accessible
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Car-Free Access
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Mobile Reception
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Seating Available
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Sustainable
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Eco-Friendly
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Low Impact
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Coverage depth

Evendo is not building another listings database. It is building a world model.

Traditional travel systems organise the world around transactions, integrations, and supplier participation. Evendo begins from the opposite direction: map what exists, understand it deeply, and then make it discoverable and executable.

2M+Real-world mapped places globally
150+Semantic attributes enriching the graph
65Experiential vectors per location node
2,000+Coverage and enrichment sources feeding the system
Traditional platforms

They represent what is integrated.

  • Bookable inventory
  • Supplier opt-in
  • Flat listing data
  • Coverage shaped by monetisation
Evendo

It represents what exists.

  • Places as first-class graph nodes
  • Proactive, participation-independent coverage
  • Spatial, semantic, behavioural, and temporal depth
  • Coverage becomes a compounding system asset
A visible slice of the graph in action

A visible slice of Evendo’s world model.

Evendo’s Location Graph transforms the physical world into structured semantic intelligence AI can reason over — enabling richer discovery, deeper context, and real-world execution.

A live interface to the graph

Evendo.com is the first consumer interface built on top of Evendo AI.

The consumer experience is only the first visible layer. It is built on the underlying Location Graph, semantic place intelligence, and AI-native discovery and execution stack — demonstrating how Evendo AI can turn real-world coverage into useful consumer products today.

Visit the Evendo demo
The Location Graph

A place is no longer a pin on a map. It is a connected intelligence node.

Evendo’s Location Graph gives places relational depth. A location connects to neighbourhoods, traveller intents, ambience, access, experiences, local signals, and execution pathways — creating a machine-readable representation of the real world that AI can reason over.

System architecture

A closed-loop operating system for real-world discovery and execution.

Evendo’s defensibility comes from the interaction between coverage, graph enrichment, demand formation, and real-world execution. Each layer makes the others stronger.

Coverage creation

Map the real world proactively

Bulk supply, targeted location discovery, and editorial extraction expand the graph independently of supplier opt-in.

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Location Graph

Enrich, canonicalise, connect

Each node is resolved, linked, and enriched with semantic, psychographic, spatial, and behavioural depth.

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Discovery & execution

Turn intent into action

Structured discovery creates executable demand; Eve extends execution into fragmented and offline supply.

The compounding moat

The graph improves as it operates.

Coverage expands the demand surface. Discovery creates structured intent. Execution produces transactional and behavioural feedback. That feedback reinforces the graph’s ground truth — creating a compounding asset that becomes harder to replicate over time.

Location GraphShared state
Coverage
Discovery
Execution
Feedback
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