Start with the bit that matters.

Pick one job your team still does by hand or in a spreadsheet. We'll build working software to do it, running inside your own systems, in six weeks.

Book a 30-minute call See the examples

Scope, price and the monthly fee to keep it running are fixed before we start, and we test the result before you commit to anything else.

Think big. Build Bitsized.

Keep the ambitious plan; delivery is what kills these projects. A big programme opens with a platform and a roadmap, and the first useful thing arrives a year later.

Many possible use cases
One problem with an owner
Pilot or presentation
A working production tool
Large initial commitment
A six-week build

Four systems that went into production

WARRANTY CLAIMS · AUTOMOTIVE
PROBLEM
Handlers assessed warranty claims one at a time, and both kinds of mistake cost money: claims wrongly paid and claims wrongly refused.
BUILT
A check that reads the claim against the vehicle's service history and diagnostic readout, then flags what looks wrong. The handler still decides.
30% fewer errorsAudit of handler decisions, before and after
LEASE CLAIM CHECKING · AUTOMOTIVE
PROBLEM
Garages submit work for approval under a vehicle's lease agreement, often outside the terms or at inflated prices.
BUILT
An automatic check of every submitted job against the lease terms and normal pricing, with the answer sent straight back to the garage.
15% fasterFull production volume, over several months
TECHNICAL DIAGNOSIS · AUTOMOTIVE
PROBLEM
Faults its dealers couldn't diagnose landed with the central technical centre. The answer usually existed somewhere, but was slow to find.
BUILT
Retrieval across service manuals, technical bulletins, warranty data and past tickets, with the source document shown next to every answer.
25% more cases solvedPlus 10% faster responses. Cases closed per specialist, before and after.
REPORTING PLATFORM · MANUFACTURING
PROBLEM
Reporting was one person building spreadsheets by hand: days of work, once a month, describing numbers that were already stale.
BUILT
The on-premise setup replaced with a data warehouse on Microsoft Fabric, feeding reports that rebuild automatically every day.
Monthly to dailyThe management team, up to and including the CEO, now decides on numbers a day old

Want to see how the work is run? Ask for the delivery plan and an anonymised runbook.

Email us for the documents

Good problems to start with

Improve a forecast

Estimate demand, stock or staffing, next to what planners produce today.

Read a document

Pull fields, clauses and risks out of documents, source attached.

Detect a change

Catch a machine, process or payment behaving oddly.

Improve a plan

Weigh more options than a planner can hold in their head.

See all six examples

From problem to production in five steps

01

Find

A problem with an owner, data and worth.

02

Build

The data work, the model, the plumbing.

03

Prove

Tested on real cases against your current method.

04

Run

We monitor it; problems reach us first.

05

Decide

Keep it, adjust it or stop, on the result.

See how it works

We're still on the hook after launch.

We watch everything we've put live, and the alert reaches us first.

Monitor

Data quality, model, integrations, usage and cost.

Respond

An alert, worked against a runbook you already know.

Maintain

Updates applied, then everything tested again.

Review

Every quarter: what ran, what changed, what's worth fixing.

Have a problem worth testing?

Tell us how the job gets done today. You'll get a yes or no on a six-week build, with the reasoning behind it.

Book a 30-minute call