Human psychology into spatial knowledge.

Our proprietary ontology translates psychological needs into predictive spatial intelligence—analyzing near real-time events and their exact impact on humans and what we care about.

INGESTING

110,000+pipeline categories

ACTIVE CAPACITY

1.2M+knowledge sets

Digital twin for dwelling search.

Leveraging Maslow's theory to track relationship between people, infrastructure and environment.

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Powering five layers of human needs.

5

Self-actualization

Human potential, innovation density and adaptive opportunity zones

4

Esteem

Economic trajectories, social mobility, professional opportunities and commercial growth

3

Belonging

Community hubs, socio-cultural affiliations, transit nodes and cultural amenities

2

Safety

Social preservation, psychological safety, climate risk and physical security

1

Physiological

Water, air quality and foundational infrastructure essential for life

The architecture of living intelligence.

Continuous extraction across 110,000+ public and private siloed data categories.

Raw data sets become contextual, real-time dwelling experiences.

Independent knowledge graphs interlock into one adaptive spatial truth.

High Performance Query and Predictive Analysis

Milliseconds

Pre-aggregated multidimensional data cubes compress complex query execution times.

Timelapse

Real-time conditions and historical trajectories resolve within the same analytical frame.

H3 precision

Multi-scalar spatial units reveal hyper-local change across properties, neighborhoods, and regions.

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At the architectural core of Moveguide is a high-performance analytics engine built on multidimensional data cubes (OLAP cubes). By pre-aggregating our vast spatial and human welfare datasets across multiple dimensions, our infrastructure compresses query execution times down to milliseconds.

This OLAP architecture powers timelapse queries, enabling systems to analyze near real-time conditions alongside historical trajectories instantly. Rather than running heavy, resource-intensive queries on raw databases, our data multicubes allow developers and platforms to compute complex spatial changes, trend velocity, and predictive shifts on the fly.

To map these insights to physical geography, we enrich vicinities using the Hexagonal Hierarchical Spatial Index (H3). By fusing H3 hexagonal indexing with our proprietary human psychology ontologies, we transform standard geographic coordinates into structured, multi-scalar spatial units. This ensures that every neighborhood, property, or region is evaluated not just by flat boundaries, but by how human needs, environmental factors, and infrastructure interact across precise spatial grids—delivering sub-second, hyper-local intelligence at scale.

For Developers & Partners

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