AI-native software engineering

From problem to digital solution. With AI at every step.

We build the solutions SaaS tools won't. Spreadsheets that outgrew themselves, tools that don't talk to each other, and manual work where AI can do the heavy lifting. We fix that with custom software, built by AI-native software engineers.

we build custom software with industry innovators
what we do

AI doesn't replace your workflows. It removes the friction inside it.

Custom software & automations

We build the software that connects your systems, replaces the spreadsheets, and automates the manual work. Software solutions that fit your business like a glove.


AI agents & integrations

We build AI agents and embed AI capabilities into the software or data you already have. Or we build completely new platforms. Connected to your existing systems, scoped to your reality, yours to own.

The AI opportunity check

A short, focused workshop to find where AI can actually move the needle. We show up with questions, walk through your processes, and hand you three concrete use-cases with ROI.



2 people in meeting, 1 at table, 1 at a whiteboard
Software engineer working at desk with plants on it
Built today. Relevant for years.

AI changes fast. Good architecture doesn't. We build software that grows with the technology. Let's make your investment count.

why we are

AI didn't change us.
It's how we started.

Most agencies discovered AI last year. We've been engineering with it since day one. That's not a head start. That's a fundamentally different way of working.

AI gives us the speed to explore more options, catch more edge cases, and ship faster. The hard part stays with the engineers: understanding your business, choosing the right solution, deciding what to build. The math has changed. Projects that didn't make sense five years ago do today.

Ahead of the curve
We work with (and battle-test) every major AI model the moment it lands. So your software runs on the best technology available, not the one we learned five years ago.
We ship in iterations, not big-bang releases
You see working software as soon as possible. We deploy something small, you use it, we adjust.
Why we keep teams small
Smaller teams move faster, communicate better, and own more of what they build. Less overhead, more direct communication lines, and faster decisions.

What we've built. And what it changed.

AI opportunity check.
Concrete use cases.

A short, focused meeting to find out where AI and automation can actually move the needle in your business. We don't show up with a pitch deck. We show up with questions, work through your processes together, and hand you concrete use-cases. With effort estimates and ROI.

Request my AI Scan
How it goes
01
intro call, 30 min
You tell us where the pain is. We ask the boring questions nobody else does.
02
Working session, 90 min
On-site or remote. We look at processes, tools and data as they run today.
03
Advice and use cases
Within a week, you receive advice with grounded use cases plus an estimate of effort, cost and return.

Events & Talks

In-company sessions for your team on working with AI: what it's good at, where it breaks, and how to get real value out of it. Plus the occasional event we host ourselves when we've got something worth sharing.

TALK
Working with AI: a practical session for teams
On request
More info
Juni 2026
Small automations you can build yourself for HR
Registrations opening soon
TBA
Juli 2026
Small automations you can build yourself for Sales
Registrations opening soon
TBA

“Working with we are means we can put real focus on the implementation: how we roll it out together with our users. It's not just a technical question, it's much more than that.”

Stein Van Stichel
CIO @ Upgrade Estate

FAQs

Where does our data go when you use AI?

Your data stays your data.

We work with business accounts on every AI tool we use, which means your input is never used to train anyone's models. For most projects, we run AI on cloud infrastructure we control ourselves, like AWS Bedrock, in a region of your choice. For extra sensitive data, we go a step further: we run open-source models locally, fully within your own environment. That way, your data doesn't even leave your infrastructure.

Which decisions does AI make in the development process, and which do humans make?

Strategic decisions stay with the engineers: understanding your business, choosing the right architecture, deciding what gets shipped. AI accelerates the work around those decisions: writing code, exploring options, catching edge cases, handling the repetitive parts. The team stays fully responsible and accountable for everything that goes live.

AI fills the sails. We steer.

How do you guarantee quality when AI is involved?

The same way good engineering teams always have: a smart team that reviews everything before it ships.

But AI changes the equation. When you can build almost anything, the hard part shifts. The question is no longer "can we build this?" but "should we, and where exactly are we going?". That's where our engineers spend their time now: less syntax, more architecture, business logic, and making sure what we ship is the right thing to ship.

Do we have to replace our existing software?

No. We can build on top of what you already have: setting up integrations, small applications that replace runaway Excels, AI layers on top of your existing tools… Or we build an entirely new digital solution with AI integrations and automations, in which case you'll want to replace that existing software 😉.

Do you offer ongoing support after launch?

Yes, we don’t deliver and run! If we stay involved after launch, we agree on a Support Service. A best-effort support is our baseline guarantee: security updates, maintenance, monitoring and a quick response to critical issues. From there, it's your call: prefer a full coverage with 24/7 emergency response and complete peace of mind? The monthly fee depends on what you need. If you just want a small update outside the agreement, we can do hourly rates for that.

Either way, you're working with the same team that built your software. No handoffs to a ‘support department’ that's never seen your code. We also do proactive monitoring: AI-powered tools that catch issues before they become problems.

The biggest risk isn't moving too fast. It's moving too late.

You don't need a full AI roadmap first. You need a starting point.