About
We do the boring work so your people don't have to.
A small team. We build applied AI for operational work, run it after launch, and grade it every month. We also say plainly what we won't build.
bor·ing /ˈbɔːr.ɪŋ/ adj.
- of an AI tool: runs on a Tuesday in February exactly as it ran on the Thursday it launched.
- checked on out of curiosity, not worry.
see also: reliable
Boring, on purpose.
- 01
The best AI is the kind you stop noticing.
It runs on a wet Tuesday in February exactly as it ran on launch day. You check on it out of curiosity, not worry. That is the whole ambition.
- 02
Most work doesn't need a breakthrough.
It needs something that turns up, does the job the same way every time, and a person who notices when it doesn't. We build that, and we stay to be that person.
- 03
We pick work with a right answer.
If a job repeats and someone can write down what correct looks like, we can build it and grade it. If it needs judgment a good person would struggle with, we say no on the first call.
- 04
We answer for the number.
Every tool ships with a target and is graded against it every month. If it doesn't earn its place, you don't pay for the next step.
Build it, run it, grade it.
The same four rules on every engagement, whatever the industry.
- 1
We build it
One workflow at a time. We sit with the people doing it, write down what correct looks like, and build the tool into the systems you already run.
- 2
We run it
It isn't a handover. When it breaks on a Sunday, we're the ones who get the message. You get the work done, not a tool that needs a team to keep alive.
- 3
We grade it
Every month, and every time the model underneath changes, the tool is re-tested on a fixed set of your real cases. You get the score and the list of what it got wrong.
- 4
We say no
If a job needs judgment a person would struggle with, or nobody can say what a right answer looks like, we tell you on the first call.
What the team has built
Things that run, or ran, on real data for real clients. Nothing here is a concept.
Reading hurried store photos
AI that speaks Thai
3D flats from drawings
Banners from real photos
Pharma reorders from the ERP
Price lists into records
In production in four countries.
Three tools at a supermarket chain in Thailand, a buyer walkthrough for a developer in India, a BI and reorder console for Vital Drugs in the UAE, and a document reader for a distributor in the Netherlands.
4
countries in production
32,141
products recognised on the shelf
224
homes buyers walk before they exist
99%
less manual data entry
Tell us the job your team hates. We'll tell you if AI can do it.
A 30-minute call with the people who would build it. No technical knowledge needed: just describe the job, how often it happens, and how you check it's done right.