Services
We build the systems that make your data work.
Data platforms & engineering
Data platforms & engineering
We design and build cloud data platforms that bring scattered data into one place, model it properly, and make it available to the people and systems that need it. Everything we deliver is designed so your team can run it without us.
When teams typically need this:
- Data spread across disconnected systems with no single source of truth.
- A legacy data warehouse that is expensive, brittle, or poorly understood.
- Analysts spending more time cleaning data than analysing it.
In practice
Our team built a cloud data platform for a major NHS integrated care board: Snowflake-based, 25+ clinical and operational dashboards, serving over 3 million patients.
Analytics & data science
Analytics & data science
Analytics is only useful when it changes a decision someone was about to make. We build dashboards people actually open, models that predict what happens next, and experiments that prove what works rather than what feels right.
When teams typically need this:
- Leadership makes decisions on gut feeling because the reporting does not tell them anything new.
- There is a hypothesis worth testing but no framework for running a proper experiment.
- Existing ML models were built as a proof of concept and need to be rebuilt for production.
In practice
Our team designed and ran A/B pricing trials for a global airline: £5m immediate revenue uplift, projected £75m–£100m annual impact, calibrated across 40m+ passenger journeys.
AI products & automation
AI products & automation
We build AI systems with a clear job to do: connecting siloed information, replacing manual processes, and making existing workflows faster and more reliable. We also know when AI is not the right answer. That happens more often than most people expect.
When teams typically need this:
- A manual process is consuming hours of skilled time every week and could be automated.
- A ChatGPT proof of concept needs to become a reliable, production-grade system.
- The team needs help separating what is feasible from what is marketing before committing to a build.
In practice
Our team built a generative AI tool for an international research organisation, connecting thousands of R&D projects so researchers find relevant work in seconds rather than days.
How we work
Every engagement starts small.
We do not ask you to sign a six-month contract before we have understood the problem. Every engagement starts small, on purpose, and follows a clear, structured process.
Discover
Understand the problem before committing to a solution.
We assess the current state: data, systems, processes, and constraints. You get a written recommendation for what to do next, whether that is a build, a restructure, or a decision not to proceed. Scope and pricing are agreed before we start.
Start with a discovery →Build
A working solution, not a deck.
We build the platform, pipeline, dashboard, AI tool, or automated workflow. Scope is defined together. The founders review every deliverable before it reaches you. You get a working system, documentation, and a handover.
Scope a build →Partner
Ongoing support for things that are live.
A monthly allocation of senior practitioner time for maintenance, iteration, monitoring, or new development. Reviewed quarterly. If it stops making sense, we will say so.
Talk to us about ongoing work →Not every engagement follows the same path. Some teams need a proof of concept before a full build. Some start with a data platform and come back for AI on top of it. We design the engagement around what you need.
How we think about delivery
“The people you meet are the people who do the work.”
The founders lead every engagement and review every deliverable before it reaches you.
“We would rather say no than overcommit.”
If something is outside our expertise or the timeline is unrealistic, we will tell you.
“Your team runs it after we leave.”
Everything we build comes with documentation and a proper handover.
“No surprises on the invoice.”
We agree how pricing works before anything starts. If the scope changes, we have the conversation first.
These examples reflect work our founders have led across their careers.
Want to talk it through?
No pitch, no pressure. Just a conversation about what you need and whether we can help.
Talk through your use case