AI studio in Helsinki for EU B2B software teams
We build agents and AI features that run inside your product, test them before customers see them, and show you why each answer was given. A written plan in three weeks, a bill you can predict, built to EU rules.
Built for Overhand, EasyWaste, Kapasity, EasyMedi, Hunome and Dized.
Refund assistant, Tuesday 14:02
FailedFixedCustomer: “Can I get a refund on the annual plan?”
Yes, you get a full refund within 60 days.
Fails: the policy says 30 days.
Fix: the old file leaves the index and the check runs on every release. Re-run:
Yes, within 30 days of purchase.
Passes: policy-match, €0.004, policy v4.
Our own product first, then the companies we build for.
Our own product, open source
Developers lose their day watching AI coding agents.
Overhand runs the agents you already use across all your projects and hands back finished, checked work. Every change arrives as a pull request with proof of what ran, and a guard stops anything risky first. You only make the decisions.
overhand.devWaste management, Finland
Companies cannot see what their waste costs, or who should be handling it.
We built the software that shows where waste is created and what it costs, and prepares the audits and tender documents to put the work out to competing suppliers. Supplier PDFs are read automatically, so the data is never typed in by hand.
Waste equipment, since 1984
When an outside partner repaired a machine, Kapasity had no record of what was done.
Now every repair ends the same way: the partner gets a link, fills in the job on their phone with photos and a signature, and a finished service report lands on the right job automatically.
Medicine ordering for care homes, by Pharmadata
Care homes order medicines for many residents, and every order has to be right.
We worked on the ordering system, where authorised staff order when they have time and patients, medicines and orders stay on record.
Collective decision-making for organisations
Surveys and workshops flatten what a group actually knows.
Hunome lets people think through a question together, and uses AI to show where understanding is forming and where it is still contested. We built the product people use and the tools that run it.
Learning board games
Reading a rulebook uses up the evening before anyone plays.
Dized teaches a game step by step while the group plays it, and game publishers use it to get new players started.
The offers
AI put to work on a real business problem: tested before anyone sees it, explained when it answers, and built to EU rules. Three ways to start, each ending in something running or a plan in writing.
Take work off your team
Pick the task that eats your team's week: reading supplier invoices, answering customer questions, checking documents. We build AI that does it, tested before a customer sees it, with a record of why it answered as it did and a monthly cost you can predict.
Tested from week one
Build or add to your product
Either the first version of a product you can raise money on, or the AI feature your existing customers are waiting for. It is yours from the first day, and you see it working every week.
Yours from the first day
Decide with a clear plan
Two to three weeks of interviews and review, then a written plan with owners and your first 90 days. For when you are unsure what to build, whether your team and systems can carry it, or what EU rules mean for you.
Two to three weeks
What's on shift
Every system from offer 01 ships with parts like these. Each has a job, a schedule and a cost. Click through them.
The way we work
The same three steps for every offer: scoped in a call, planned in writing, shipped with a working demo every week.
01 · Call
You describe the problem. We ask about your systems, your team and what has been tried. A written scope note follows.
02 · Plan
Price, timeline and risks in one document. Fixed price or retainer. Nothing starts before you have read it.
03 · Ship
You see it working every week. Test results, the record of every answer and the invoice are visible before you ask. A recorded handover at the end.
Scope in writing before any invoice. Everything else follows from that.
The promise
It survives
production.
Quality checks, a record of every answer and a spending limit are in place in week one, not after the first incident. In plain words: tested before launch, explainable when wrong, a bill with a limit. All three before the first invoice.
100
Speed score of this page on desktop, measured at build
0
Cookies this page sets
3
Weeks from the first call to a written plan
6
Companies named on this page, each a real system
Pick one up and throw it · each one has been to production
Automated first read
You get back what kind of problem it is, which offer fits, and a rough shape of the work. Written by a model, in about ten seconds. It is a first read, not advice.