Can you integrate with the systems we already have?+
Yes. We have built integrations against ERP, CRM and specialist systems, as well as Altinn, ID-porten and BankID.
What about security and GDPR?+
Security is built in from the start. We take privacy and security seriously, encrypting data both at rest and in transit.
When does a custom system make more sense than standard SaaS?+
When you have at least ten users, a workflow that does not fit any standard product, or integration requirements that become complicated in SaaS. A clear signal is when someone in your organisation is holding the process together with spreadsheets and email, that is a strong sign a dedicated tool will pay for itself.
How long does it take to build an internal system?+
The timeline depends on scope. An MVP with a defined set of core features, role-based access and a few integrations is faster than a full case management or professional system. We deliver in sprints so parts go live along the way, you do not wait for the first benefit.
What happens if STUDIO X no longer exists in five years?+
In the vast majority of projects we build custom, and you then own the full source code, databases and infrastructure. We always clarify ownership before signing an agreement, so it is clear from the start. Some solutions we build on a shared platform or on components we have made before (for example our App Studio platform), and the model can then be a little different, which we flag up front. How important ownership is also varies: for a startup it is often essential to own the code yourself, while for a municipality or organisation it tends to be more about reliable operations, stability and a supplier they trust over time. Either way we build with open, well-documented technologies (TypeScript, Postgres, Next.js, React) and set up a clean handover, so no one is locked in against their will.
Can you build on our existing infrastructure (cloud or on-premises)?+
Yes. We have delivered systems on Norwegian or EU/EEA-based hosting, dedicated servers and hybrid on-premises setups. The choice of platform depends on data classification, existing expertise and cost model. We advise based on that, not on what we prefer.