Service 01 · Flagship
AI-powered app development that ships, not demos.
We build web and mobile apps with AI at the core: assistants that know your data, document processing, smart search and the automations behind them. Tested like software, reviewed by people, and handed over as code you own.
Platforms
Web · iOS · Android
Quality
Evals + human review
Ownership
Your code, your prompts
Models
OpenAI, Anthropic or open-source
Overview
What is AI-Powered App Development?
AI-powered app development is building software where a language model does real work inside the product: answering questions from your own documents, reading invoices, drafting replies or deciding the next step in a workflow.
The hard part isn't calling a model. It's making the answers reliable, testing them like any other feature, and keeping a person in the loop where mistakes are expensive. That's the part we specialise in.
Right fit if
- A repetitive task eats hours of someone's week
- Your answers live in documents, emails or a database
- You want a product, not a proof of concept
- You need it in a web or mobile app your users already use
Not the right fit if
- You want a chatbot for its own sake
- There's no data or process for the AI to work on yet
- Mistakes can't be caught by a person or a rule
What we build
What we actually build.
Concrete examples of what AI-Powered App Development looks like in practice — the kind of thing a client asks for on a first call.
Assistants that know your data
A chat or search box that answers from your own documents, with sources, instead of guessing.
E.G. "What did we agree with this supplier last year?"
Document processing
Invoices, contracts and forms read, checked and entered into your system, with a person approving the exceptions.
E.G. 1,200 supplier invoices a month, matched to orders
Smart search
Search that understands what people mean, across products, tickets or a knowledge base, not just matching keywords.
E.G. "waterproof jacket for kids under 400 kr"
Workflow automation & agents
Multi-step jobs handled end to end: read the request, look things up, draft the result, hand off to a person.
E.G. support tickets triaged and first replies drafted
AI features in your existing app
We add AI to the product you already have, without a rewrite: a new feature, an API and the tests to keep it working.
E.G. "summarise this account" button in your CRM
Internal copilots
A private tool that drafts, checks or summarises for your team, running on your data and your rules.
E.G. proposals drafted from past projects
How we build it
Built to be trusted. Not just demoed.
A demo takes an afternoon. Something your team relies on takes engineering — this is what that looks like in practice.
Every AI feature has a test suite
We write evals, real examples with expected answers, and run them on every change, so quality is measured, not assumed.
People approve what matters
Where a mistake is costly, the AI drafts and a person confirms. You decide where that line sits.
Your data stays yours
We use providers and settings that don't train on your data, and we can host in the EU when that's a requirement.
No lock-in to one model
We pick the model per task (OpenAI, Anthropic or open-source) and can switch when a better or cheaper one arrives.
Costs you can see
Usage, latency and cost per request are tracked from day one, so the monthly bill never surprises you.
Models
OpenAI · Anthropic · open-source
Retrieval
pgvector · embeddings · hybrid search
App
Next.js · React Native · Python · Node.js
Infra
Azure · Docker · Vercel
Related work
Shipped, not slideware.
Real projects, described by the system we built and the result it delivered.
A SaaS platform for Danish SMEs
A subscription platform that turns fragmented Danish company data into something a small business can act on.
Read the case studyProcess
How a project runs.
The same six steps as every project, with the deliverables above coming out of Build and Test.
01 / You bring
02 / We build
01
Discover
Scope + estimate02
Design
Prototype03
Build
Sprint demos04
Test
QA + security05
Launch
Live app06
Grow
Next release↺ Then the next release
03 / You get
FAQ
Straight answers.
How much does it cost to build an AI app?
It depends on scope: how many workflows, which platforms, and how much data needs preparing. We give you a written estimate after a free 30-minute call and a short discovery, before you commit to anything.
Can you add AI to our existing app?
Yes. We add AI to the product you already have, as a new feature with its own API and tests, without a rewrite.
Is our data used to train AI models?
No. We use providers and settings that don't train on your data, and we can host in the EU when that's a requirement.
Which AI models do you use?
Whichever fits the task — OpenAI, Anthropic or an open-source model — and we can switch later if a better or cheaper one arrives.
How do you know the AI's answers are correct?
Every AI feature ships with an eval suite: real examples with expected answers, run on every change. Where a mistake is costly, a person reviews the answer before it goes out.
Do we own the code and the prompts?
Yes. Both are yours at handover — the code, the prompts, and the evaluation suite that tests them.
Talk to us
Have a problem worth building?
Send us the rough version. We reply within one business day.
Start a project →