Software systems
Backend systems, APIs, integrations and long-lived platforms designed around real operational needs.
Software · Cloud · AI · Research
Software, cloud, data and AI come together according to the problem, the constraints and the systems already in place.
What we do
Complex projects rarely fit neatly into one discipline. The architecture should use only the pieces the problem actually needs.
Backend systems, APIs, integrations and long-lived platforms designed around real operational needs.
Cloud architecture, infrastructure as code, Kubernetes and governance for reliable, maintainable systems.
Machine learning, computer vision, agentic systems and enterprise AI capabilities built into real products and operational workflows.
Evidence-led research and experimentation for problems that need proof before production.
How we work
The starting point is the problem and the environment around it. Technology follows from the evidence, constraints and systems already in place.
The problem, the people involved, the evidence, the constraints and the systems already in place come first.
→A technical direction makes the trade-offs, boundaries and responsibilities explicit.
→Implementation happens incrementally, inside the real environment rather than as an isolated technology demo.
→Assumptions are tested, behaviour is observed, knowledge is transferred and the system evolves as the context changes.
Selected work
Software Engineering
A long-running platform connecting business systems, APIs and operational workflows, maintained and extended over time.
Agentic AI + Infrastructure
AI-assisted deployment validation combining bounded reasoning, deterministic tools, traceable findings and human approval.
Cloud Architecture
Infrastructure-as-code and cloud architecture designed to make deployment, governance and day-to-day operation more consistent.
Applied AI Research
Applied research combining physiological biomarkers, computational methods and clinical context to study earlier indicators of behavioural change.
AI Architecture
A governed foundation spanning data, platforms, governance and lifecycle controls for introducing AI capabilities into established environments.
Computer Vision · Applied Research
Deep-learning research behind AIrMed, progressing from scientific work to registered and licensed diagnostic-support technology.
How we think
AI can be part of the answer. In other cases, the better answer is software, integration or cloud architecture. The job is to understand the difference and build what the problem actually needs.
About Boxyware
Boxyware began in the UK in 2016 and has been based in Spain since 2018, continuing to build long-term relationships with clients in the UK and elsewhere.
One of our first UK clients remains with us today.
Contact
If the problem needs careful engineering, the first step is deciding what belongs in the solution — and what does not.
hello@boxyware.com