Tokyo / AI product studio
Adopting AI is no longer the hard part. What comes after it is. We take AI that is stuck in pilot and turn it into something people use every day. One team designs it, builds it, and teaches your people to run it.
Somebody else said it
Apple gives out a handful of these a year across the entire App Store. Ours went to our founder, for accessibility work on Speechify, software people use because reading the normal way does not work for them.
It sits this high on the page for one reason. Everywhere else here, we are the ones telling you the work is good. This is the part where somebody else said it, and the somebody else was Apple.
Recognised by Anthropic
Anthropic recognised us with the Claude Partner Badge, in Claude Code. It is the tool we build with every day, so none of this is theoretical. How to roll it out, where teams get stuck, what it actually costs to run. We went through all of it on our own work first.
One section up, Apple vouched for the design. This is Anthropic vouching for the way we build with AI. Those two things are what this studio sells, and in both cases somebody else said it first.
Where the market actually is
Adoption is done. Effect is the next problem
Japan’s 2026 White Paper on Information and Communications puts generative AI use at 86.4% of Japanese companies, against 90.9% in the United States and 91.6% in Germany. On adoption there is barely a gap. The gap opens up right after. Asked whether they have any organisational effort behind it, 27.0% of Japanese companies said they have none. The United States answered 1.4%, Germany 4.9%. And only 6.0% to 11.9%, depending on the task, have rebuilt a business process around AI. The missing piece is not the tooling. It is how the work gets rebuilt around it, how the effect gets measured, and whether the people using it ever got good at it.
The work we take on lives in the space between that 86.4 and that 27.0. It is not glamorous. It is also the only part that changes the outcome.
Source: MIC Japan, White Paper on Information and Communications 2026, published 24 July 2026. Surveyed January to February 2026 across Japan, the United States, Germany and China.
of large Japanese companies are using or rolling out generative AI
US 90.9% / Germany 91.6% / China 98.1%
say the results clearly beat expectations
US 1.4% / Germany 4.9% / China 2.6%
turned the gains into value staff or customers can feel
Ranges from 6.0% to 11.9% by task type
What we build
Strategy, interface, code and training. One team carries it from the first conversation to the last handover.
The model is rarely the hard part. The hard part is everything around it. Which screen it appears on, which workflow it sits inside, who gets to see what, and how it behaves when it is wrong. Get that wrong and a strong model still goes unused.
We turn manual work into systems that keep running. It starts by watching how the work actually happens, then automating only the steps where it pays. Projects that try to automate everything tend to stall halfway.
Handing out licences changes nothing. We run everything from executive briefings that sharpen a decision, through hands on workshops for the people doing the work, to writing the internal guidelines. In Japanese and in English. Some of it qualifies for public training subsidies.
Design has been the day job for over 16 years. However much of this is about AI, the last thing a person touches is a screen. When that part is careless, everything behind it looks careless too. We do not treat it as decoration.
How we work
Five steps, from the first conversation to the point where your team runs it without us.
We watch the real work and separate where AI pays from where it does not. Sometimes the honest answer is that you should not do this yet, and we will say so.
About 2 weeksA working prototype, early. Arguing over a deck is slower than putting something in front of people and watching them use it.
2 to 4 weeksProduction code, wired into the systems your company already runs on. Not a demo with a nice screen.
From 4 weeksWe put a number on it. What got shorter, by how much, and did the quality hold. Anything you cannot measure, you cannot improve.
OngoingWe train the people who use it. Skip this and a good system quietly goes unused within six months. We finish when it runs without us.
OngoingSelected work
Work that gets noticed, gets used, and moves the business. All three, or it is not finished.
About the studio
A small studio in Shinjuku, Tokyo. Small enough that the person you talk to is the person doing the work. Nothing gets lost in a handover.
The founder is Spanish, based in Tokyo, and has been doing design for over 16 years. We work in Japanese, English and Spanish. The useful part is the combination: an international standard of design, executed the way things actually get done in Japan.
Simple answers
That is the normal starting position. Usually the first move is not picking a tool, it is looking at where the hours are actually going. The first conversation costs nothing, and it sometimes ends with us saying you are not ready for this yet.
Yes, and we would rather you did. Pick one process and one team, get something working in a few weeks, measure it, then widen. It reaches scale faster than trying to launch everywhere at once.
Often, depending on the work. There are programmes for AI and IT adoption at small and medium companies, and separate ones for staff training. The rules change every year, so we check the current version with you at the start.
Yes. Documents, meetings, training and deliverables come at the same quality in Japanese or English. We frequently pick up the reporting back to an overseas head office as part of the job.
A diagnosis on its own runs about two weeks. A working prototype takes one to two months. Through to a live rollout is typically three to six months, depending on scale and how tidy your data already is.
Of course. Brand, websites, product UI and motion were the day job long before any of this. Those projects are very welcome.
Get in touch
Give us fifteen minutes and tell us what is not working. No pitch. If we are a bad fit we will tell you.
or
Shinjuku Dai-7 Hayama Bldg 3F, 1-36-2 Shinjuku, Shinjuku-ku, Tokyo 160-0022, Japan
