
The technical co-founder. Takes the solutions we explore with companies and turns them into a complete, production-ready system.
LinkedIn โWorks with what you already use
The team
Small team, deep expertise. You work directly with the people who design, build and implement your system.
Get in touch
The technical co-founder. Takes the solutions we explore with companies and turns them into a complete, production-ready system.
LinkedIn โ
Co-founder focused on the commercial side and exploring what companies need. Translates business challenges into a concrete first step.

First point of contact for new organisations. Translates your processes into a concrete first step.

Builds agents and integrations so the system does real work in the software you already use.
The fragmentation
Your team uses ChatGPT, a transcription tool, something for email and three experiments nobody opens anymore. All separate, all with their own logins and costs, without these systems ever talking to each other.
tools ร departments
Every department has its own AI experiment. Nothing talks to anything else, nobody has an overview, and every subscription keeps ticking.
context = 0
A chatbot that doesn't know your clients, files or appointments gives generic answers. AI only works once it knows your organisation.
switching ร hours
Your people switch between interfaces all day, copying output from one window to the next. That isn't automation. That's extra work.
Building blocks
runtime
Digital colleagues that pick up tasks on their own: drafting email, queueing bookings, updating files, watching planning. Every outbound action goes past a human first. You stay in control.
memory
The shared memory of the system. Every document, every client and every appointment, searchable for every agent. Answers come from your knowledge, not the open internet.
self-learning
Agents adjust their own instructions based on feedback and results. The system at month six is demonstrably smarter than at month one. Without a new implementation project.
io / mcp
Through open standards (MCP) the OS talks to your existing systems: Exact, AFAS, Microsoft 365, your CRM. Nothing gets replaced, everything gets connected.
We assemble your OS from proven parts: an open agent framework, the Digital Brain, local language models and MCP connections. Configured and hosted by us.
Your OS starts from a sector bundle: pre-configured tasks, connections and workflows for your field.

Financial signalling, booking preparation and client communication. Connected to Exact Online and Microsoft 365.
Explore (I) โ

Sourcing candidates, screening and follow-up. The recruiter keeps the conversations, the agent does the groundwork.
Explore (II) โ

Member and client contact, case work and knowledge questions, on your own infrastructure with role-based access.
Explore (III) โ

Finding prospects, writing outreach and keeping the CRM current. Every message goes past you before it's sent.
Explore (IV) โ
Other branch? We build a bundle to fit any organisation with repetitive work in software.
Privacy & sovereignty ยท Choose where your AI lives
Some organisations must keep everything on their own infrastructure. Others want to go live today. We deliver both, with the same functionality and the same data story.
Fast start
Own IT policy
Maximum privacy
Begin in the cloud and grow into it: your configuration, connections and history simply move along.
Frequently asked
It is one system that runs your repetitive work across the tools you already use. We build it around your business from proven parts: agents that do the work, a shared memory layer called the Digital Brain, local language models, and connections to your existing software. You do not log in to a product. We set it up inside your operations.
Your data stays in your environment. You choose where the OS runs: our managed cloud in the EU, your own server, or a local AI computer. Nothing is used to train external models, and every connection is set up with clear rules on what the system may see.
Yes. Through open standards (MCP) the OS connects to Exact, AFAS, Microsoft 365, your CRM and more. Nothing gets replaced. We connect what you already use, so your team keeps working in familiar software.
A first working agent is usually running in weeks, not months. We start with one clear process, prove it in your operation, and build from there. Prove first, then build.
Yes, and we recommend it. We pick one repetitive process, set up an agent for it, and let you see the result before expanding. You can start in our cloud and move to your own infrastructure later, with your configuration and history moving along.
Contact
In one conversation we show you what the Agentic OS looks like on your systems, and which process we tackle first. Prove first, then build.