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Delivered in partnership with VIZZIO Technologies — #1 Most Promising Startup in Asia as ranked by The Information
The platform
City-scale 3D mapping from satellite imagery
AI-automated pipeline transforms VHR satellite imagery into photorealistic, geometrically precise 3D city models. No drones, no aerial photogrammetry, no government permits. Global coverage, updated continuously.
Indoor & outdoor 3D mapping using 360° video
Capture any built environment — from hotel lobbies to factory floors — using 360° video footage. AI reconstructs a fully navigable, spatially accurate 3D digital twin without specialist hardware.
Mobile 3D scanning — any object in seconds
Capture photorealistic 3D models of any physical object in under 10 seconds using a standard smartphone. Ideal for asset documentation, product visualization, and facilities management.
Why EARTH.AI
An AI-automated pipeline segments satellite imagery, understands object semantics, and builds complete 3D city models without any manual modeling. Complete globe coverage — no aerial photogrammetry needed.
Model any city on Earth without drones or on-site data collection. Eliminates logistical, regulatory, and technical barriers — no no-fly zones, no weather dependencies, no operator licensing.
Sub-30cm positional accuracy using stereo imagery from VHR satellites and SAR data. Models are dimensionally correct and geo-referenced to WGS 84, always reflecting current conditions.
Deep learning replaces traditional drone surveys entirely. Built on a Vision Transformer trained across 1,500+ cities, the system classifies and textures every surface from satellite data alone.
Hyper-photorealistic building textures generated by combining AI, neural graphics, and procedural methods. Each pixel is classified and rendered to produce life-like, immersive environments.
Cities Modelled in 3D
Geospatial Data Processed
Area Mapped to Date
Cities Used for AI Training
Applications
Infrastructure simulation, zone planning, and real-time city management dashboards for government and municipal authorities.
Virtual property tours, floor-plan documentation, and operations management for hotels, resorts, and commercial properties.
Terrain analysis, mission rehearsal, and persistent situational awareness across contested or inaccessible environments.
Photorealistic virtual tours, development scenario modeling, and portfolio visualization at city or regional scale.
Site progress monitoring, as-built validation, and clash detection integrated with BIM workflows.
Geo-specific 3D environments for training simulations, XR experiences, and real-world-accurate game worlds.
Live demo
National-scale · Aerial + street + indoor
City-wide photorealistic 3D model of Singapore covering aerial, street level, and interior environments — continuously updated from satellite data.
FAQ
Everything you need to know before your first deployment.
VIZZIO's AI-driven platform ingests stereo VHR satellite imagery, multi-spectral data, and SAR feeds. Deep learning models perform semantic segmentation — classifying buildings, roads, vegetation, and water bodies — before reconstructing geometrically precise 3D meshes. A Vision Transformer neural network applies photorealistic textures to produce the final model, all without any drone flights or manual surveying.
Smart cities, real estate, hospitality, construction, manufacturing, energy, logistics, defense, and gaming all benefit. Any organization that manages physical assets or environments at scale gains operational intelligence from a live, spatially accurate 3D representation.
Sub-30cm positional accuracy, geo-referenced to WGS 84. Texture resolution reaches 4K–8K depending on the data source. Models are updated continuously as new satellite passes occur, ensuring they reflect current real-world conditions.
Yes. The system uses data from leading global geospatial providers covering the entire planet. There are no no-fly zones, airspace restrictions, or regulatory barriers — satellite-based capture works anywhere, anytime.
Traditional methods rely on drone or aircraft-based photogrammetry — expensive, slow, weather-dependent, and restricted by aviation regulations. VIZZIO's approach uses satellite imagery and deep learning to achieve comparable or superior accuracy at a fraction of the cost and timeline, with global scalability.
Update frequency depends on satellite revisit rates for a given location, typically ranging from daily to weekly. The AI pipeline processes new imagery automatically, so models reflect recent changes without manual intervention.
Get started
From satellite imagery to fully interactive digital twins — talk to AGR Networks about deploying VIZZIO's technology for your organization.
Delivered in partnership with VIZZIO Technologies