Data & AI Services

We cover the full journey, from assessing where your data actually stands today to building the platform and governance foundations underneath it, then implementing the AI or data science solution itself. In practice that’s ranged from a machine learning model predicting energy cost fluctuations for Drax Power to a proprietary AI platform built with Herbert Smith Freehills Kramer. Different problems, same underlying approach: understand the data, build the right foundation, then solve the specific business challenge.

Yes and it’s where most of our work happens. We hold advanced specialisations in the Microsoft Analytics and AI Platform, so a lot of what we do is helping clients get more value from Microsoft investments they’ve already made rather than starting over. Our work with Herbert Smith Freehills Kramer, for example, centred on building strong foundations across their Microsoft architecture to underpin future AI strategy.

Twenty-plus years of data and analytics experience means we’re rarely starting from a blank page. With HomeServe, that meant mapping their document architecture and building a working search platform, powered by Azure Cognitive Search and Knowledge Miner, in just 10 weeks.

With Drax Power, it meant building a model to predict National Grid balancing charges accurately enough to shift production decisions around it. The common thread is speed to a working solution, not a long theoretical roadmap.

Legal, energy, financial services and more. We’ve helped a leading UK legal firm tap into its historic database of over a million wills to fuel new revenue streams, supported a leading international investment company with a long-term managed services partnership, and built Drax Power a data science model that’s saved the renewable energy supplier several million pounds over three years.

No. HomeServe didn’t start with a clean, search-ready document system, that was the whole point of the project. We help assess where your data actually stands and build the right foundation as part of the work, rather than requiring everything to already be in place first.

Yes. For Drax Power, the predictions we generated were delivered via an API and eventually integrated directly into the energy trading team dashboards. For Herbert Smith Freehills Kramer, the result was a centrally governed, globally orchestrated platform built to underpin their existing architecture, not a standalone tool sitting outside it.