Geospatial Portfolio & Case Studies

Explore how we've helped organizations across the globe harness the power of spatial data to solve complex challenges.

127 Projects Delivered
43 Countries Reached
98% Client Satisfaction
15+ Years Experience
Showing 12 projects
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Latest Projects

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Web Mapping

Spatial Data Infrastructure for City of Melbourne

Enterprise SDI serving 500+ geospatial layers for urban planning and public services.

GeoServer PostGIS OpenLayers
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Analytics

Forest Fire Risk Prediction System

ML-powered spatial analytics platform predicting wildfire risk across 5M hectares.

Python GeoPandas TensorFlow
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IoT & Real-Time

Fleet Tracking Dashboard for DHL Logistics

Real-time GPS tracking and route optimization for 15,000+ vehicles across Europe.

Kafka Redis MapboxGL
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Infrastructure

Cloud Migration for UK Ordnance Survey

Migrated 12PB of geospatial data to a cloud-native architecture with zero downtime.

AWS Kubernetes Terraform
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Web Mapping

Ocean Current Visualization for NOAA

Interactive 3D oceanographic map rendering real-time current and temperature data.

CesiumJS WebGL NetCDF
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Consulting

Geospatial Architecture for World Bank

Designed enterprise GIS strategy serving development projects across 60+ nations.

Architecture Strategy Open Source

Featured Case Studies

In-depth looks at how we solved complex geospatial challenges for our clients.

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Climate Platform

UNEP Climate Monitoring Platform

The United Nations Environment Programme needed a unified platform to monitor environmental indicators across 190+ countries. Our solution processes 2TB+ of satellite data daily, providing actionable insights for climate policy decisions.

We built a cloud-native architecture using GeoServer clusters, Apache Kafka for real-time data pipelines, and custom visualization dashboards accessible to policymakers worldwide.

60%
Faster Analysis
190+
Countries
$2M
Cost Savings
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Fire Detection

Australia Forest Fire Early Warning System

Facing increasing wildfire threats, Australian authorities needed a predictive system combining satellite thermal data, weather forecasts, and terrain analysis to predict fire risk up to 72 hours in advance.

Our ML-powered spatial analytics platform integrates multiple data sources, runs risk models every 15 minutes, and provides early warnings to emergency services across 5 million hectares of forest.

72hr
Early Warning
5M ha
Area Covered
40%
Risk Reduction
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Trusted by World-Class Organizations

Our Project Process

A proven methodology that delivers results on time, every time.

1

Discovery

We analyze your data, understand your goals, and define the technical requirements for your geospatial project.

2

Architecture

Our team designs a scalable, secure architecture tailored to your data volume and performance needs.

3

Development

Agile sprints with continuous integration, testing, and stakeholder reviews ensure quality at every stage.

4

Deployment & Support

We deploy, monitor, and provide ongoing support with 24/7 availability and proactive maintenance.

Have a Geospatial Challenge?

Let's discuss how our expertise can transform your spatial data into actionable intelligence.

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