Built for the real world.
Every project begins with a particular operational challenge. The technology differs, but the goal is the same: deliver something useful, robust and worth maintaining.
Explore selected work across software engineering, AI, data integration and intelligent workflows.
Featured projects
Estimating parcel dimensions with a smartphone.
From discovery and proof of concept to the engineering of a more intuitive customer journey.
Extracting useful information from complex regulation.
An AI-driven document processing workflow designed for specialised data extraction and quality evaluation.
Resource planning that accounts for people, demand and skills.
A platform to help an engineering business understand capacity and make better allocation decisions.
Making information across business systems easier to use.
Bringing separate data sources into a more useful operational view.
Finding product signals in large volumes of community feedback.
AI-assisted organisation and analysis of community conversations for a game development team.
Engineering a digital pensions experience.
Software for member journeys and the operations behind them, developed with regulated-business requirements in view.
Making customer feedback easier to understand.
Applying signal detection and AI-assisted classification to feedback from several channels.
Supporting third-party risk workflows with software.
An AI-enabled platform concept and delivery work involving vendor assessment and operational risk.
[ + ]BEHIND EVERY CASE STUDY
What was the problem? What did we have to build? What changed?
We aim to answer those questions without pretending every project has a dramatic headline statistic. If a result is measured, we show the method and context. If it is not, we describe the delivered capability and next steps.
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