We ship the AI product.Not the deck.
Complete AI products — model, backend, UI, deploy — built by one senior engineer in 2–4 weeks. Prices below, not on request.
scope: support-bot for 200 tickets/day · est. €18K · 3 weeks · start Mon
- €1,500
- Strategy sprint · 2 weeks
- €15K–€45K
- Product sprint · 2–4 weeks
- €3,000/mo
- Retainer · month to month
The problem
You've tried to build this before.
Five ways an AI project stalls. Every one of them is an engineering problem, not a model problem.
The agency quoted three months.
You got juniors on the invoice.
Nobody would name a price.
The model works, the product doesn't.
Our approach
Working software from day 5, then every three days after.
No discovery phase that produces a deck. The first deliverable is a URL, and it never stops being one.
Day 5 — it runs.
Every 3–4 days — you see it.
Week 4 — it's live.
Measured on real traffic
What shipped, and what it did.
Five products in production. The number on the left is the one the client measured after launch.
How they work
Five products, drawn from their own interfaces.
Each panel is the real shape of the thing that shipped — the thread, the extraction table, the agent pipeline, the queue, the scoring run.
Support bot for a SaaS help desk
- Challenge
- 200+ tickets a day. First response took 4 hours.
- Solution
- Retrieval chatbot over the docs, wired into the existing ticketing system.
Retrieval chatbot · Ticketing integration
Contract review platform
- Challenge
- 2–3 hours of manual review per document.
- Solution
- Clause extraction model, a review dashboard and a workflow around it.
Extraction · Dashboard
Financial reporting agents
- Challenge
- Finance team losing 15+ hours a week consolidating data by hand.
- Solution
- A pipeline of agents: extract, validate, analyse, write the report.
Multi-agent · Reporting
“I need a copy of last month’s invoice, the one from March.”
- 00:00Call in+41 44 …
- 00:03Transcribedde-CH
- 00:07Intentbilling · invoice copy
- 00:09Routedbilling agent
- 00:45Resolvedinvoice re-sent
Voice agent for a call centre
- Challenge
- 500+ inbound calls a day, long queues, high staffing cost.
- Solution
- Voice assistant with live transcription and intent routing; hands off to a person for complex cases.
Voice · Routing
Lead scoring for a sales team
- Challenge
- Reps qualifying leads, booking demos and following up by hand across platforms.
- Solution
- Agents for qualification, outreach and CRM sync.
Agents · CRM sync
Shipped & live
6 products, all with a URL.
Open one and click around. Nothing here is a mockup or a case study written after the fact.

Resumemaster
AI résumé engine · Next.js + React Native · 10K users

Codepilot
SaaS starter kit · Auth, billing, dashboards · Next.js

Linktobio
Link-in-bio product · Web + mobile app

Cremeri
Skincare storefront · Next.js

Le Plombier
Service business site · Lead forms · Next.js

Yunakin
Perk-sharing platform · Web app · Next.js
What it costs
Three ways in, all of them priced.
No “contact us for a quote”. Pick the tier, book the call, get a fixed number in writing.
Strategy Sprint
from €1,500
Two weeks to find out what is worth building, whether your data can carry it, and what it costs. Ends in a fixed quote.
- Data & feasibility audit
- 3–5 scoped use cases
- Fixed-price quote
- 90-day roadmap
Product Sprint
€15K–€45K
A complete AI product: model, backend, UI, deploy. Working software from day 5, a demo every 3–4 days, live by week 4.
- Model + backend + UI
- Deployed on your cloud
- Demo every 3–4 days
- 30 days of support
Retainer
from €3,000/mo
Senior full-stack and AI hours every month, without hiring. Roadmap features, model tuning, infrastructure cost — one engineer who already knows the codebase.
- 60–80 senior hours
- Weekly call + daily Slack
- Same-day emergencies
- Month to month
The terms
What you can hold me to.
Four commitments that are in every contract, whichever tier you pick.
The price on the card is the price on the invoice.
You own everything from the first commit.
One engineer, start to finish.
No lock-in on the retainer.
Why one engineer
Most people can do AI or production. The graveyard of AI projects is the gap between them. I've spent six years on the production side and build the AI on top of it. You get one engineer, the whole stack, and a demo every few days.
Built for
Start here
Your product could be live in four weeks.
Thirty minutes, no deck. Bring the problem and you leave with a scope, a price and a start date.
