Machine Learning at Geospatial Insight

Geospatial Insight’s expert capabilities in geo-analytics have provided the company with a rich variety of data, collected from multiple sources.

Utilising the state of art in machine learning tools and techniques, the company is systematically improving and automating task evaluation processes to gain full advantage of the growing wealth of information available internally.

Machine learning forms the core of our automation strategy. The recent fast-paced development in artificial intelligence and machine vision provides a way to extract patterns and high-level semantic knowledge from data in near real-time. This automation moves far beyond replication of historic analysis, allowing us to identify, analyse and understand dependencies and relationships on a level far beyond manual design and analytic capability. Such automated methods are designed, optimised and deployed using in-house and in-cloud services, rapidly providing insights on huge datasets in a short time-window. Interfaced with smart data visualisation tools, they provide access to core information in the shortest possible timeframes.

Collaboration with industrial partners to effect transfer of our machine learning knowhow and capabilities to partner problems in the aerial, video and drone analytic domains is already well established. We have developed in-house a rigorous problem evaluation strategy and can handle the whole pipeline of machine learning design, from conception to roll-out.

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About us

Geospatial Insight was established in 2012 by a team of highly experienced Geospatial experts to address a gap in the market for delivering actionable business intelligence sourced from satellite imagery.

Today the company has an enviable market position as one of the leading providers of geospatial intelligence in the World.

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Interested in being part of our ambitious team? Then we’d love to hear from you. Our standards are high.

If you think you’ve got what it takes to be part of our rapidly growing company, why not send us your details along with your CV.

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