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tokynstudio
service

ai solutions
in weeks, for a fraction.

Software, websites, web apps. What classic agencies take 9 months and a six-figure budget to build, we ship in 2 months - for a fraction. No throwaway prototypes, but a production stack from day one, in your repo, with docs.

01 / proof
why smbs trust us

this is what ai builds usually look like.

Three numbers that frame the market - and a fourth where we run against that frame.

~9 months

typical duration for a custom business app at classic agencies.

4–6 people

usual team size per project - with the matching overhead in coordination, status reports and handovers.

six figures+

budget anchor for comparable custom apps in the DACH mid-market.

with us

2–3 months. 1–2 seniors. A fraction of that.

is this for you?

book a discovery call
02 / leverage
why so fast, why so affordable

one senior. not a team of five.

Classic agencies need a team for each project: project lead, two engineers, a designer, someone on QA. Three quarters of the time go into coordination, status reports, meetings, handovers.

We work differently. One experienced person, equipped with a modern AI-assisted development toolchain, builds what would have required a full team two years ago. That saves three things at once:

  • time

    no internal interfaces, no waiting between roles.

  • money

    no team overhead, no multi-headcount for a single project.

  • quality

    one person holds the entire stack in their head, instead of five who keep explaining it to each other.

the difference at a glance
  • team
    classic agency

    typically 4–6 people

    tokyn

    1–2 seniors

  • mvp duration
    classic agency

    often 3–6 months

    tokyn

    2–4 weeks

  • custom app duration
    classic agency

    often 9–12 months

    tokyn

    2–3 months

  • budget
    classic agency

    typically six figures+

    tokyn

    a fraction of that

  • coordination
    classic agency

    weekly status reports

    tokyn

    weekly live demos

This doesn't mean less rigour. It means less friction. Code gets reviewed, tested and documented the same way as for any production system. The difference shows up in the price and the timeline - not in the result.

03 / scope
what we actually build

concrete. not abstract.

mvps in 2–4 weeks

From concept to a prototype you can test, demo, decide on.

full web applications

On a production stack - no rebuild for scale after six months.

websites and marketing sites

With AI-powered features (personalisation, search, lead qualification).

integration into your systems

ERP, CRM, data warehouse - whatever is already there.

ai features in existing products

One concrete use case, cleanly integrated, no rewrite.

clean handover

Incl. docs, repo access, team enablement - you run it yourselves, or we stay on.

04 / what it might look like
illustrative use cases

three examples. what it might look like.

mechanical engineering

Mid-sized custom-machine builder, manual quote calculation, long lead times.

gebaut: Internal tool for AI-assisted quote calculation.

Quote turnaround from days to hours.

Built in a few weeks. A classic agency quote typically lands at several months.

saas

Growing SaaS company, support function not scaling with customer growth.

gebaut: AI-powered search and auto-tagging in the help centre.

Support tickets visibly down in the first quarter.

Built in a few weeks. Internal effort would have been several months.

logistics

Freight forwarder with heavy manual workload on delivery-note intake.

gebaut: Web app for AI-assisted delivery-note intake.

Processing time per delivery note clearly down.

Built in a few weeks. Classic offer: several months.

ready to get concrete?

book a discovery call
05 / stack
tech stack & tools

pragmatic. not hype-driven.

We pick the stack by three criteria - in exactly this order:

  1. 01use case - what does the thing need to do, now and 18 months out.
  2. 02compliance & data - what may be processed where, what has to stay in the EU.
  3. 03your team - what can you sensibly operate yourselves after handover.

What does not feed into stack decisions: what's trending on LinkedIn, what got hyped at the latest conference talk, what our favourite toy happens to be.

what that means in practice
  • We build on established open-source frameworks so you're never trapped in a platform.
  • AI models are picked per use case - state-of-the-art where it makes sense, EU-hosted where compliance demands it.
  • On request we host entirely in the EU, including all AI inference.
  • Production stack from day one - no throwaway no-code prototype that has to be replaced after three months.
what we don't do

Throwaway prototypes in no-code tools that have to be swapped for a "real system" the moment real users show up. What we build still runs in 18 months - and can be picked up by any other engineering team.

what you actually get

The stack proposal for your project lands in the concept document after discovery - including reasoning per component and the alternatives we ruled out.

06 / process
how it runs

no workshop theatre.

013–5 days

discovery

Use case, data situation, systems and target KPIs. We talk to the people who'll actually use it.

you get

Discovery doc with assumptions, risks and first architecture sketches.

022–3 days

concept

Scope, architecture, effort and risks on a single page. A clear decision, not a slide deck.

you get

Fixed-price offer, timeline, milestone plan.

03scope-dependent

build

Iterative, runnable from week one. Production stack from the start. Weekly demos, no status-report theatre.

you get

Repo access, staging environment, weekly demo calls.

041 week

handover & enablement

Clean handover, docs, team enablement. You run it yourselves - or we operate it under retainer.

you get

Code ownership, technical docs, runbook, onboarding for your team.

On request we'll happily run the whole thing for you - maintenance, updates, evolution under retainer. Separate contract, no minimum-term games.

07 / investment
what it costs

fixed price. fraction of usual.

We work on fixed prices per project - no T&M gamble, no hidden cost. Range indication after discovery, final price before build.

What you get from us typically lands at a fraction of what classic agencies charge for comparable scope. How small that fraction is depends on the competing offer - usually we're talking orders of magnitude, not percentages.

mvp

2–4 weeks

One concrete use case, runnable, in your repo. Ideal for testing, showing, deciding.

Range after discovery
typical

custom app

2–3 months

Full application, integrations, roles & permissions, production-ready. Multi-user, real data.

Range after discovery

ai feature in existing product

scope-dependent

One AI feature cleanly integrated into a shipping product. No rewrite.

Range after discovery
what's not included

Ongoing operations, new features after handover, token costs of the AI providers. On request we cover that under a separate retainer - its own contract, its own terms.

08 / faq
common questions

next step

let's talk about ai solutions.

30 minutes, no pitch deck. We look at your concrete situation and tell you honestly whether - and how - it's worth doing. If not, we'll say so.

AI Solutions - MVPs & Custom Apps · tokyn studio