Skim Engine™ Updates: Geo Tagging

Our Team have been working on new features for our Skim Engine™. The first of which was announced at the beginning of the week relating to Entity Extraction. For this feature our team focused on Geo Tagging.

The Skim Engine™ will be able to extract any geographical locations – villages, countries, cities, oceans, rivers, etc. – found in the text. The entities are normalised to Latitude, Longitude and Elevation – and include their Geonames Database location ID, population estimates etc.

Updates with our customers in mind

The Geo Location Extraction feature lets our clients extract and normalise locations in-text to a latitude and longitude. This is an essential feature for many sectors. We originally developed it for monitoring news feeds for monitoring the news for disruptions (natural disasters, for instance) to supply chains. In this context, it is essential to understand the stories in a geographical way – the locations where the events were happening, how close they were to other events, their distance to or presence in a specific area of interest, etc. The results can then be visualised and their locations and their frequencies on maps and so on.

What else can be done?

If this new feature captured your attention and/or you want to discuss the value that can bring to your business, let’s talk! Our Data Experts are always available for a chat.

Whether you are simply curious, want to discover more about AI in your industry or organisation, or you want to have a concrete AI roadmap for your Data projects, we can help with an Exclusive AI Innovation Workshop.

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The challenge: Deloitte’s partners and account managers found they were drowning in news from sales support teams, and unable to react quickly to market changes

The solution: Deeper Insights built a prototype Automated Insights app allowing them to have better conversations with clients and close more business

The outcome: Account managers at Deloitte close more business thanks to actionable insights delivered straight to their phones

Client said: "There are a number of gems we’ve found that are far better than the standard services we use" - Dimitar Milanov, Partner, Deloitte


The challenge: Help the sales and marketing teams know more about their customers to enable them to drive deeper customer engagement in sales meetings

The solution: Deeper Insights developed a CMS that scraped the web and automatically identified and summarised customer events relating to key accounts at JLL

The outcome: The automation of the whole previous manual process, and being able to identify 60% more news stories than the manual process, enabling JLL have better and more informed conversations with their clients

Client said: "We have lots of researchers and people who generate insights for our clients, Deeper Insights™ (formerly Skim Technologies) helped us improve the speed at which we get insights and have better conversations with our clients." - Chris Zissis, CIO, Jones Lang LaSalle


The challenge: In the UK, the total number of Total Knee Replacements(TKA's) per year has increased from 13,546 in 2003 to 98,147 in 2019 costing the NHS an estimated £585m per year. The average cost of a TKA in the UK is £12,000, however, post-surgical complications, e.g surgical site infection, increases this cost by between £1618 and £2398 per patient.

The solution: Our consortium, which is comprised of Smith&Nephew Ltd, Deeper Insights and Imperial College London, won Innovate-UK funding to carry out an ambitious and innovative project that is focussed on developing markerless and automated registration and tracking of the patient's limbs tailored for robotic-assisted orthopedic procedures using structured light technology assisted by deep learning to continuously capture the patient's anatomy during surgery.

This new platform will be integrated within S&N's commercially available robotic platform "NAVIO," which was previously supported by I-UK funding, and will obviate the need for percutaneous markers reducing set-up time, cost and complexity during surgery.

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We have a combined experience of over 40 years in developing cutting edge, and innovative Artificial Intelligence from both academia and industry. We are specialists in Computational Linguistics, Natural Language Processing, Machine Learning, Deep Learning and Data Analytics


Dr Márcia Oliveira,

PhD Network Science


Dr Claudio Sa,

PhD Deep Learning


Dr Catarina Carvalho,

PhD Image Processing