Application development and open source intelligence

Geospatial Intelligence specialises in using cutting edge spatial technology to solve real world problems. We have a wide range of skills and experience in big data, link analysis, artificial intelligence and machine learning. We have also developed a suite of in-house software tools.

Open Source Intelligence

At Geospatial Intelligence, we have expertise in gathering open source intelligence from a broad range of sources using customised and developed software tools to analyse, geo-reference and spatially understand what is happening, and where, for our clients. Our team can also customise processes and software to fit with customer requirements.

Working to solve our customer’s problems, we use a range of artificial intelligence (AI), machine learning (ML), natural language processing (NLP) and data analytics techniques to process datasets ranging from a few hundred, to millions of data points.

Open source intelligence (OSINT) is intelligence material produced from legally procured information from the public domain. The information can range from social media posts through to news articles, government reports, videos and images. OSINT can be particularly valuable due to the shorter timeline required to acquire and process it compared to more traditional intelligence sources. Geospatial information can often be derived from OSINT sources and commonly big data mining  techniques are used to derive intelligence from the information. OSINT can be applied to a range of fields, including cyber security, financial analysis, health and pharmaceuticals, insider threat, fraud detection and national security.

Application development

Geospatial Intelligence’s skilled software development team and domain experts deliver custom geospatial software solutions to our customers. Our team have worked on the development of a range of geospatial systems including the PressAtlas app. The team has experience with machine learning and artificial intelligence and have worked on advanced cognitive neural network based processing systems to aid in the analysis of satellite imagery, including object detection and classification.

Our team have experience working with existing tool sets to develop solutions for customers. The team have skills across a range of platforms and have developed solutions using Objective C, Swift, C, C++, Python, PHP, JavaScript, Android, Java, Microsoft .Net and web frameworks (including Laravel and WordPress). Past projects have involved utilising frameworks and designing extensions for a range of commercially available spatial software including Esri ArcGIS Pro, QGIS, Geoserver, Luciad and GDAL.