What are you specialised in?
Custom AI systems: models, agents and automation built around your data and your rules. And everything they need to work in the real world: the software, the infrastructure and the product around them. Three typical starting points: an expert process still run by hand, a new AI-first product, or a pilot that needs to become a production system.
How do we start?
With a conversation about the problem, not a pitch. If it looks like a fit, we run a short scoping phase to understand your systems, your constraints and what "good" looks like, and we come back with a clear proposal before anyone commits to a build.
Do we need a technical team on our side?
No. A person who knows the business and can make decisions is enough. Whether the project is an AI system, a piece of software or infrastructure, we bring the engineering and work with whoever you already have, from a single IT lead to a full team.
How do you price a project?
Scoping is a fixed, closed piece of work. Builds are organised in phases, each with a defined scope and budget agreed before it starts, so there is no open-ended hourly work. Every project is different, which is exactly why we scope before we quote.
Who owns what we build?
You do. Source code, infrastructure, models, prompts and documentation are yours, delivered in your repositories and your accounts. We don't lock you into a platform, because we don't have one.
Where does our data live, and who can see it?
In your environment: your cloud, EU regions you approve, or fully on-premise when the domain requires it. Named engineers with least-privilege access, revoked at hand-over, and every access to production data logged.
Is our data used for anything else?
No. Your data is used only for your project. Nothing trains a shared model, nothing is reused for other clients, and what we build with it belongs to you.
What is signed before we start?
NDA and DPA before scoping. GDPR by default, and we align with your security and compliance reviews, including regulated-sector requirements.
What happens after launch?
We stay. Monitoring, maintenance and improvements from real use, for as long as you want us to. You decide how much to run in-house; we hand over documentation and training either way.
Do you only do AI?
AI is what we are known for, but the same team designs and builds software, infrastructure and complete products, with or without a model in them. If your problem is a platform, an integration or an app, that is a project for us too.