Data and AI, built for operations.
The data layer AI needs. Insight your operators trust.
Timely data, recorded once and never rewritten, in a single source your whole business agrees on — and the shape AI actually works with. All on Google, in your own secure, scalable environment. Live in weeks, not years — handed over to you, or run by us.
Brands our team has worked with or advised, in prior roles and engagements — as employees, and as consultants.
Everything in. One layer. Then it works for you.
Most businesses have the data and none of the leverage — a dozen systems, none of them agreeing. We map the value stream, record every activity once in a way nothing can quietly rewrite, and everything after that gets cheap: the reporting, the exceptions, the agents.
Every system in, deduplicated and reconciled.
Personal data obscured at ingest
Recorded once in BigQuery and never rewritten — every activity with its cost, revenue, conversion and time.
A conscious, real-time view of the business, focused on the next best action.
The one thing that needs you now
Agents work the exception off the back of it, rather than just noticing it.
One page. The whole business. In real time.
A balanced scorecard across finance, customer, operations and people — every measure against target, with RAG status derived from the metric tree rather than typed in by hand. Underneath it, objectives tracked against pace, and the three things that actually need you today. Clear one and the next moves up.
- 01Margin slipping on the hero SKU
Gross margin down 3.1pts over two weeks, driven by promo depth on one line.
GM 48.2% vs 51.3%Review promo → - 02Returns spiking in one size
Size 12 returns at 19% against an 8% baseline. Likely a spec change.
19% vs 8%Investigate → - 03Marketplace stock about to run dry
Two bestsellers below three days of cover at the current run rate.
2.7 days coverReorder →
- Carriage cost per order drifting up
- New customer share below plan in the South
- Supplier lead times slipping on two lines
A second brain for your business. And for everyone in it.
The layer does not only report. It remembers — every activity you have recorded, every decision anyone made, and what happened next. That is what turns reporting into recommendations: something that has seen your business work, is still watching, and tells you what to do about what it is seeing right now.
For everyone in it
Ask it what you would ask the colleague who has been here fifteen years — why we decline these, what we did last time, which of my accounts is about to go wrong.
For the business itself
Judgement stops living in a handful of heads. When somebody resigns the reasoning stays; when somebody joins they start with the whole history.
Aligned to your policies and the way you actually decide.
Recommendations come from inside your own policy, and the priors from decisions your business has already made — not the industry average.
How it stays aligned →You don't need to be a tech company. You need to see your own numbers.
Builders merchants. Wholesalers. Distributors. Plant hire. Family manufacturers. Serious turnover on thin margin, where the person who really understands the numbers is the owner, a long-serving manager, and a shared drive.
Cash sitting on a shelf nobody has counted since March
The only copy, and it leaves when Dave does
Gross margin, so the branch that eats the deliveries still looks fine
Nobody knows the win rate, or which quotes went cold and why
Two versions in circulation, and the trade counter has the old one
Cost to serve per drop, which is where the margin actually goes
Questions the business already asks every week. None of them talk to each other.
You are not too small for this. You are the size where it pays back fastest.
And the payback is not a nicer report. It is one dead product line cleared, one bad account repriced, one rebate threshold hit that you would otherwise have missed. At £60k a year for a single area, that arithmetic tends to work out quickly — or start with the £15k map and see the numbers before you commit to anything.
We already know your value streams.
Every sector argues about different numbers. We have built the layer underneath those arguments before, so we start with your metrics rather than a discovery phase.
Nothing held back. Including the keys.
We work at the front edge of what is actually possible with AI right now, and we hand all of it over — the tools, the reasoning, the access. Our job is to make ourselves unnecessary, then be genuinely useful when you choose to come back.
- 01Open and honest, by default
- 02If it takes an hour, you get it in an hour
- 03Tools matched to the person, not the average
- 04We expect you not to need us
Quality data first. Then the agents. Then your people where it counts.
How we work, in full →How we think about this.
Your data team is a folder on a shared drive
It is called Reports, it has 240 files in it, and every one of them is a question the business asks every week. That folder is not a failure — it is a specification.
Nobody is drowning in data. They're drowning in reconciliation.
Month-end isn't slow because the numbers are hard. It's slow because five people are proving to each other that their versions agree.
Quality data first. Then the agents.
An AI output is only ever as good as what sits underneath it. Most failed AI projects are data projects that got skipped.
Faster than hiring a team. So it costs less than one.
Start with a £15k map you can take away and build yourself — credited in full if you go ahead — or solve one area for £60k a year — less than half of one fully-loaded senior data hire (~£143k). No lock-in, and you own everything we build as we build it.
Each tier covers a stated number of source systems and entities rather than a revenue band — a large, simple business is a cheaper build than a small, complex one, and the price should say so.
Bring one decision your data should be helping you make.
30 minutes, no deck. We'll tell you on the call whether we're the right partner, and exactly what we'd ship in the first 30 days.