What we do
Five practices.One continuous team.
Most partners hand you off between silos. We keep the same people from strategy through to the release that pays for itself.
01 — The practices
What each one actually involves.
Application Development build
Platforms, portals and internal tools that survive real load and real users. Web, mobile and everything wired behind them.
Most of what we are asked to build already exists in some form — a spreadsheet holding a process together, a system nobody wants to touch. We start by instrumenting what is actually there, then replace it in slices small enough to roll back.
- A working slice in production inside eight weeks
- Your CI, your review standards, your release train
- Runbooks and load tests, not a handover email
Data & Analytics understand
Warehouses, pipelines and the dashboards your board actually opens. We start from the decision, then build backwards.
A dashboard nobody opens is a cost, not an asset. We begin with the decision someone needs to make on a Monday morning and work backwards to the model, the lineage and the alerting that make it trustworthy.
- A governed model with lineage you can audit
- Self-serve dashboards for the people who own the number
- Alerting that fires before the report is wrong
Artificial Intelligence automate
Agents, retrieval and forecasting put into production with evaluation, guardrails and a cost model you can defend.
We turned down more AI work than we took in 2024. The projects we keep come with an evaluation set and a cost-per-task number attached, because most AI programmes we have been asked to rescue failed on retrieval quality, not on the model.
- An evaluation set before a single prompt ships
- Red-teaming, PII handling and an audit trail
- A running cost-per-task figure your risk committee can read
Digital Marketing grow
Demand generation run like an engineering practice — instrumented, tested weekly, and tied to pipeline rather than impressions.
Marketing that cannot be measured is an opinion. We instrument the funnel first, then run weekly tests against pipeline — not impressions, not reach, not any number that never reaches a revenue meeting.
- Attribution wired to your CRM, not a vendor dashboard
- A weekly test cadence with results you can veto
- Spend that follows revenue
Team Augmentation scale
Named senior engineers who join your standups, learn your codebase and stay. Scale up in weeks, scale down without drama.
Named people, not a bench. The engineer you meet in week one is the engineer still there at launch, in your Slack and on your board, with a substantial block of your working day written into the engagement.
- Named engineers, introduced before you commit
- Substantial US overlap every day, in writing
- Scale down without a penalty clause
02 — How an engagement runs
Four steps, and you own the output of each.
Thirty minutes, no deck
An engineer and a delivery lead. We'll say plainly whether this is our problem to solve or someone else's.
A shaped plan you own
Scope, sequence, team and cost on two pages. Yours to keep whether you hire us or not.
Something real, in your environment
Discovery ends with working software, not a document. You judge us on a demo before the big commitment.
Handover as a deliverable
Runbooks, tests and a fortnight of pairing. We'd rather earn the next project than hold the keys.
2wk
to something you can click
20+
senior specialists, no bench juniors
5
practices, one delivery team
6
years delivering, uninterrupted
Before you write
- Do you take on small projects?
Yes, if the problem is interesting and the scope is honest. Our smallest engagements are two-week diagnostics.
- Can you work inside our repo and process?
That's the default. Your board, your review standards, your release train. We adapt to you, not the reverse.
- How much US overlap do we actually get?
A substantial block of your working day, every day, written into the engagement — not a courtesy that disappears after month two.
- What if we already know it's an AI project?
Then bring the data question first. Most AI programmes we've rescued failed on retrieval quality, not on the model.
Let's begin
Not sure which of the five you need?
That's usually the right time to talk. Thirty minutes, no pitch deck.