AI studio · EU
Where does AI pay off first in your business?
Two ways to start. If customers message you and wait for a reply: an AI sales agent we run for you, with a ledger of everything it did. If your team already uses AI without rules: one session that ends in a written direction memo. Both arrive with their proof.
Not sure which? Find your AI stage in 2 minutes →
On stage, sharing how we do it
Every system we build does one of three things, and we put a number on each.
Cut cost
Automate the manual, catch the errors, shrink the cycle.
Generate revenue
Capture more leads, convert better, reach new markets.
Build what rivals can't
Turn your own data into a capability nobody can buy off the shelf.
All three measured. All three assured. Everything we ship arrives with its proof.
Proof, not demos
Measured results, under real conditions
£900,000 saved a year on document processing
A document-intelligence pipeline our founders delivered while working at another company. It turned slow manual review into a measured, auditable flow for a multi-billion-dollar enterprise. Audit-ready as a by-product of how it was built.
A lab model built to face a live market
A calibration engine built in our lab to be judged against a live market; the scoreboard publishes once a season of logged picks exists. The same calibration discipline goes into every regulated model we build.
Behavior modeled across 20M users
A behavioral model our founders built while working at another company. It spans 20 million app users and predicts what they do next, turning raw usage into revenue forecasts the finance team can plan against.
Measured and auditable. Our founders delivered the document-processing and behavior-modeling projects while working at another company; the figures are as the client reported them, as of September 2026. The lab card carries no figures until its scoreboard publishes.
The 5 stages to AI-native, and the one gate everyone gets stuck at
Click your stage. See exactly what's missing, and the roadmap we use to close it.
Most teams start at Stage 0 · Shadow AI where people quietly use ChatGPT, with no governance and no measurement.
The gate to everything above
AimRank OS: Our assured operating layer, built on Claude, underneath every stage. Enter at any rung, own what you build, no lock-in.
Runs on your cloud, no lock-in
We build and deploy across every major cloud, and you keep ownership of what we ship.
The AimRank Standard
The AimRank Standard
Every build is measured, defensible, self-improving, and yours.
The Standard is the bar every build clears, so even a small team gets enterprise-grade AI it actually owns. Four guarantees, or we scope down and tell you why.
Measured value
Cuts cost, grows revenue or builds an advantage rivals cannot copy. We prove the number, before launch and after.
Defensible
You will defend any decision to a client, a board or a regulator, with a readable reason, a tamper-evident audit trail and the EU AI Act paperwork already in hand.
Self-improving
It never fails silently: it tells you the moment it starts slipping. Where there is a feedback signal, it gets better the longer it runs.
Yours & everywhere
Any cloud or your own infrastructure, with your data kept in your region and access you control. An MCP endpoint for your agents. Yours to own, no lock-in.
Why we can guarantee these. Calibration, prediction intervals, drift detection: the guarantees are statistics, not marketing. Anyone can call an API; very few can tell you how often the answer is wrong, and prove it.
The AimRank Standard scaffold
Scaffolding, the first Build tier, from €1,290 on our Pricing page: a repo you own with the Four Guarantees and the eval that proves it already wired in. Order it through Build.
Get the scaffoldHow we build
The AI is the interface.
You operate by conversation and agents do the work, not another dashboard to learn. We ship every system as a tool agents can use (an MCP endpoint), not just a screen for people, and the model behind it is the one that passes its test. Claude is our default operating layer for agent work. It stays cloud-agnostic and yours to own, so agent-native never means lock-in.
What people we worked with say
In their own words
An AI studio: services fund products, products become platforms.
Our consulting funds the products and prototypes we build in the open. The same assurance discipline runs through all of it.
CAIO
Case studyAI video translation and dubbing. Shown here as a case study of how we build.
SaleSnail
Invite onlyOne AI sales agent across Instagram, WhatsApp, your website, Telegram and SMS. Every reply shows its reasons, and every lead, booking and paid sale is recorded in a tamper-evident ledger as proof of what the agent did.
AimRank Ranking System
LiveCalibrated rankings and RLHF-ready preference data, with a data card that shows how the data was made. Live and free to use.
Meet the Team
The minds behind AimRank
A decade of data science and machine learning, focused on AI you can measure, explain, and defend.
The engineer behind our automation and platform work: robust backends, clean interfaces, production discipline.