Our Market Sectors

We have experience in implementing innovative linked data systems for numerous clients across a range of market sectors, including finance, media and IT solutions, using our expertise to help businesses organise, publish and exploit linked data.

  • Improving the Quality of Our Scope 3 Carbon Reporting

    We have been measuring and reporting our greenhouse gas (GHG) emissions since 2019 and have worked with Carbon Footprint Ltd to independently verify our assessments (ISO 14064-3:2019) since the 2020/21 reporting year. As with all of our work at Epimorphics, we believe that better information leads to better decisions. That principle doesn’t just apply to…

  • Kotlin Interface Delegates: A Hidden Pitfall

    Kotlin Interface Delegates: A Hidden Pitfall

    At Epimorphics, our engineers spend much of their time building and maintaining production data services that need to be robust, maintainable and easy to evolve over many years. That experience often uncovers subtle behaviours that aren’t immediately obvious from the language documentation alone. This TechTalk article is written by Simon Oakes, Senior Software Engineer at…

  • Our 2023/24 Carbon Footprint

    Fourth Verified Carbon Footprint Underlines Epimorphics’ Sustainability Focus Epimorphics has published its fourth verified annual carbon footprint report, covering the 2023/24 period. This latest assessment includes our GHG emissions across Scope 1, 2, and Scope 3 (core and supply chain). In parallel we have published our Carbon Reduction Plan (CRP) following the Procurement Policy Note 06/21…

  • Spring Boot Plugin Development

    Simon, one of our senior engineers in this #TechTalk post explores the use cases and methodology for implementing, packaging and integrating Spring Boot applications which are extensible by external plugins. This post refers to application and library code written in Kotlin and managed by Maven, but should be applicable to any other equivalent Spring-compatible technologies.…

  • Experimenting with AI for Data Analysis

    When we last experimented with Large Language Models (LLMs), and their embodiment in agents like ChatGPT, we had mixed results. Applying ChatGPT-3, as it was then, to the problem of data modelling and ontology generation we found it impressive but ultimately the results were superficial and of limited use for practical modelling work in its…

  • Updated Hydrology Service (Version 3.1.0)

    Our Delivery Manager Tom Guilbert describes the improvements to the Hydrology Service we’ve released today for the Environment Agency. Introduction In previous blogs I’ve described the hugely expanded version of the Hydrology Service and its underpinning API that we built and run for the Environment Agency (EA). The service is built on our Agora Measurement…

  • Exploring the use of Zapier and the FSA Food Alerts data

    In this post, Paul explores the use of Zapier and similar services use of the FSA Food Alert API, as a way for pulling in data from the API as part of a workflow. We recently met with a food tech service provider and learnt that they use the Food Standard Agency (FSA) Food Alerts…

  • URIs for Linked Data

    URIs for Linked Data

    #TechTalk: URIs and URLs for linked data, is an old topic but one which keeps coming up in discussions so it seemed worth a refresher… Why URLs at all? Linked Data is all about helping people understand and combine data from different sources, or over time. For that to be possible we want to create…

  • Tracking environmental data using the Hydrology service API

    Our CTO Dave Reynolds explains how the new Hydrology API can be used efficiently to keep a local copy of some hydrology data up to date.