Industrialise your application

Earth Observation (EO) data is fundamental to tackling many of today’s issues relating to climate change, contributing to the sustainable exploitation of the Earth’s natural resources and mitigating the impact of the natural environment on our businesses and infrastructure.

Our ability to observe the Earth has transformed in recent years.

Scientists, governments, meteorologists, insurers, geologists, planners, oil and gas companies, utilities, and defence organisations want to use this information. However, the sheer volume and complexity of the data present challenges in realising its full potential - requiring advanced solutions to turn data into actionable outcomes.

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CGIGeoData360: Large scale production platform

CGI GeoData360 solves common technical challenges for those aiming to exploit new opportunities in Earth Observation.

Reliable monitoring solutions that can run efficiently at scale require substantial processing resources and more sophisticated data processing capabilities which can be complex and costly.

CGI GeoData360 is our state-of-the-art production platform for Earth Observation and Geospatial services (Geo). The solution is designed for long running, large scale production pipelines as a Platform-as-a-Service. It supports deep customisation and extension, enabling production workflows that consume EO and Geo data (to produce valuable business information) to run cost efficiently at scale.

Our platform can also host AI workflows. See how we use AI to remotely detect sewage overspill events from space.

Scalable

Scalable


dynamic, optimised use of infrastructure resources available from commercial cloud providers. Reduces elapsed processing times.

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Portable


deployable locally and within different cloud environments (both public and private) enabling the organisation to control their infrastructure

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Operational 


designed for production enabling reliable, consistent performance for commercially viable services with extensive monitoring and control capabilities.

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Geospatial


big data production capabilities applicable to services based on imagery and/or other geospatial data (climate data, meteorological data, points, lines, polygons etc.).

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Secure


designed to run securely in cloud infrastructures.

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Cost effective


accelerates development of industrialised applications using a reliable workflow library, optimising resource usage.