Spatial AI for cultural destinations and smart cities

Transform Visitor Engagement into Destination-Wide Intelligence

The ARTT Platform

ARTT provides destinations with a real time understanding of how people move, what captures attention, where friction forms and what drives economic lift.
The platform unifies spatial data, behavioral modeling and adaptive guidance into a single intelligence layer for cultural sites, waterfronts, districts and venues.

The visitor experience is the interface.
The data is the value.

Behavioral and Spatial Data at City Scale

ARTT captures and analyzes the signals that matter most.

Movement paths and route choice
Dwell time and heatmaps
Attention and interest signatures
Engagement density across zones
Story and content resonance
Accessibility patterns
Merchant and exhibit uplift
Crowd distribution and choke points
Service demand indicators
Microeconomic activity by location

All insight is generated through on device contextual inference and privacy safe collection.

Artty: The Adaptive Data Collection Interface

Artty is the interactive layer that visitors see. It provides simple, adaptive guidance that encourages natural exploration.
Every step, pause, choice and interaction becomes a behavioral signal that feeds the ARTT platform.

Artty adjusts narratives and paths to keep visitors engaged long enough to produce high quality data.
The platform transforms that data into operational intelligence.

Artty exists to make ARTT smarter.
ARTT exists to make destinations more informed.

1. Cultural Sites

Understand navigation patterns, exhibit pull, pace of engagement and return pathways.
Improve curation and optimize space for comfort, flow and thematic sequencing.

2. Waterfronts and Historic Districts

See how visitors actually use the environment.
Identify where they cluster, what they skip and what drives movement toward merchants and attractions.
Shape programming and infrastructure using real behavioral evidence.

3. Cruise Ships and Large Venues

Track crowd buildup, service demand and guest pacing across decks or zones.
Adjust staffing, routing and offers in real time.
Increase spend and reduce congestion through predictive insight.

4. Build on Responsible AI Infrastructure

ARTT’s privacy-first, on-device AI architecture ensures compliance with GDPR and the EU AI Act. Protected, transparent, and ethically managed.

Outcome

Smarter data. Stronger destinations. Sustainable growth. ARTT transforms destination intelligence into a living system, helping cities, cultural districts, and tourism leaders see, measure, and shape impact where it happens.

Spatial Cognition

Maps location, orientation, proximity and viewing angle to understand the context surrounding each visitor.

Contextual Intelligence

Combines multimodal signals to infer interest, pacing, crowd comfort and intent.

Edge Reinforcement Learning

Learns from encounters and behavior patterns directly on device.
Produces a personalized model without exporting personal identity

Content Mapping Tools

A built-in CMS for curators, educators, and partners to map stories, media, and data insights onto physical spaces. Our Content Authoring Toolkit enables partners to tag, script, and spatially align stories without coding - creating accessible pathways for deployment.

Product Status:

Stage: Pre POC. Finalizing prototype design with initial partners
Timeline: First live pilots targeted within 6 months
Partner Focus: Cultural institutions, DMOs and city scale districts interested in spatial AI, AR and visitor intelligence

We are inviting a small set of early partners to shape ARTT’s first deployments

Spatial AI for cultural destinations and smart cities

Spatial AI for cultural destinations and smart cities

ARTT: Spatial Intelligence for Real-World Destinations

Transform Visitor Engagement into Destination-Wide Intelligence

The ARTT Platform

Behavioral and Spatial Data at City Scale

Artty: The Adaptive Data Collection Interface

1. Cultural Sites

2. Waterfronts and Historic Districts

3. Cruise Ships and Large Venues

4. Build on Responsible AI Infrastructure