For earth mapping

Earth.ai

The patented VIZZIO platform that turns satellite imagery and geospatial data into detailed, photorealistic 3D digital twins of cities.

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We are building the world's most comprehensive whole-Earth digital twin. Powered by AI, one city at a time.

Machine learning and a geographic pipeline turn raw satellite imagery into accurate, geometrically precise 3D environments. GIS and zoning data make each twin more useful still. Real cities become instantly available for gaming, simulation, training and architecture.

Blazing fast. Global coverage. Always updated.

Our AI-driven process models any location on Earth and outperforms aerial photogrammetry on speed, cost and flexibility. It serves city planning, disaster management, infrastructure and environmental monitoring.

Why Earth.ai

Unmatched accuracy, speed and scale

Speed and efficiency

An automated AI pipeline segments and understands satellite and street images, video and point clouds. It then generates geo-specific and geo-typical parametric 3D twins that are dimensionally accurate and hyper-photorealistic.

Global coverage

Any city on Earth can be modelled without drone photogrammetry. That removes restricted flight zones, weather windows and slow data collection, and it opens up regions where drones are impractical or prohibited.

Geometrically precise, dimensionally accurate

Patented AI builds each twin from satellite imagery and data from leading geospatial providers. Models are positionally accurate and kept up to date, with no drones, aerial photogrammetry or government permits.

No aerial photogrammetry needed

UAV photogrammetry is costly, slow and blocked by no-fly zones, so maps go stale. Very-high-resolution satellites now capture less than 0.15 metres per pixel, which makes detailed urban mapping from space practical and repeatable.

Hyper-photorealistic

Facade texturing combines AI, heuristics, neural graphics and procedural methods. A Vision Transformer trained on more than 1,500 cities classifies every pixel into classes such as building, shadow and eight roof shapes. GIS, street names, points of interest and zoning can be layered in.

The process

From satellite data to a photorealistic 3D city

  1. Acquire

    Stereo images from low-orbit, sun-synchronous satellites.

  2. Enhance

    AI corrects atmospheric distortion, removes shadows, sharpens resolution and reduces noise.

  3. Segment

    Building geometry, road networks and other critical detail are extracted from the imagery.

  4. Super-resolve

    Multi-temporal imagery is combined and super-resolved for exceptional accuracy.

  5. Deliver

    An optimised 3D digital twin, ready for geospatial analysis, urban planning and real-time applications. No drones or LiDAR.

Exploded view of the data layers in a city twin: imagery, terrain, analysis and 3D buildings

The platform

High-precision visualisation for smarter decisions

Powered by advanced AI, EARTH.AI delivers real-time, high-precision visualisation for planning, decision-making and management, from smart cities to manufacturing. Rapid, scalable 3D modelling changes how we understand the world around us.

Detailed 3D model of a building complex surrounded by trees

Clients we have helped

  • AETOS
  • Advance FT Technologies
  • Attention
  • Bayanat
  • Changi Airport Singapore
  • Dubai Integrated Economic Zones
  • Economic Cities and Special Zones Authority
  • G42
  • Home Team Academy
  • Ingrasys
  • isems
  • Keppel DHCS
  • Keppel Infrastructure
  • KPMG
  • Louis Vuitton
  • Lumina
  • McKinsey and Company
  • Ministry of Education
  • Ministry of Municipal, Rural Affairs and Housing
  • Ministry of Sport
  • Ministry of Culture
  • National University Hospital
  • NHC
  • Singapore Civil Defence Force
  • Pegatron
  • PUB, Singapore's National Water Agency
  • SATS
  • Schneider Electric
  • Kiehl's
  • Singapore Institute of Technology
  • AllCAD
  • ASRock
  • Balady
  • CapitaLand
  • Cognizant Consulting
  • DP Architects
  • Foxconn Industrial Internet
  • GovTech Singapore
  • Hong Kong Police Force
  • IoT Squared
  • Institute of Technical Education
  • Keppel EaaS
  • Keppel
  • Kura Kura Bali
  • LRS
  • Management Resources Network
  • Ministry of Defense
  • Ministry of Health
  • Ministry of Municipalities and Housing
  • Ministry of Interior, Kingdom of Saudi Arabia
  • MTFA
  • National Gallery Singapore
  • National University of Singapore
  • Ministry of Home Affairs
  • Potato Productions
  • Royal Commission for Riyadh City
  • SBS Transit
  • SECOM
  • Singapore Hokkien Huay Kuan

Learn more

Questions

Proprietary AI turns raw satellite imagery and geospatial data into accurate, photorealistic 3D models. Machine learning classifies building elements, road networks and other infrastructure, so no drones or manual surveying are needed.

Smart cities, real estate, construction, manufacturing, energy, logistics and environmental monitoring. Uses run from infrastructure planning to simulation and security.

Models are geometrically and positionally accurate, with sub-30 cm precision. High-resolution data updates continually, so the models stay current and reliable.

Accuracy, speed and cost-efficiency. Real-time insight helps teams optimise workflows, manage infrastructure, improve safety and security, and support sustainability goals. The technology scales to any location worldwide.

Yes. Using satellite imagery and data from top geospatial providers, we model cities, regions and industrial facilities anywhere in the world.

Traditional methods rely on aerial photogrammetry or manual data collection, which is slow and costly. Our AI platform automates the process and delivers faster, cheaper, more scalable models with no drones or on-site collection.

In near real time, depending on the availability of satellite data. The AI-driven workflow keeps each twin current.

Our team tailors the solution to your needs. Whether you work in urban planning, real estate, manufacturing or another field, we help you put 3D digital twins to work on operations, safety and data-driven decisions.

Bring your data to life

Being able to 3D-map anywhere on Earth with high accuracy is a massive game changer.

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