Applied AI · Netherlands
Production systems for organisations that cannot afford to get data wrong.
Get a quoteThe demo is the easy part. What breaks is everything after it: the model that is confidently wrong at three in the morning, the integration nobody scoped, the audit that arrives eighteen months later asking where the data went.
We build for that day rather than for launch day. Monitoring, fallbacks, audit trails, and a written answer for what happens when the model is wrong.
If it is not on this list, ask. The list describes what we have shipped, not the limit of what we can build.
Software that can hold patient data. Practice platforms, patient portals and clinical tooling, designed to the standard health data demands from the first sprint rather than retrofitted before an audit.
Medical & health software →A phone line that always answers. Takes calls, books appointments, answers the twenty questions you get every day, and hands to a human the moment it should. It works at three in the morning.
AI receptionists →Scheduling that runs itself. Intake, availability, reminders, rescheduling and no-show chasing, synced to the calendar you already use. Built around your rules, not someone else's software.
Booking & scheduling →An assistant that has read everything you have. Grounded in your own documents and policies, with citations, so staff and customers can check the answer. Runs on your own infrastructure if the data cannot leave it.
Knowledge assistants →Whatever the thing actually is. Internal tools, document pipelines, vision and OCR systems, consumer apps, integrations between software you already pay for. If it involves a model and has to work in production, it is in scope.
Custom AI applications →None of these are promises about effort. They are structural, and you can hold us to each one in writing before the work starts.
European storage, least-privilege access, full audit trails, data minimisation designed into the architecture. Your customer data gets the same treatment as patient data, whether you are a clinic or not.
Systems that run your business on Monday, not demos that impress on Friday. Monitoring, fallbacks and a documented plan for when the model is wrong, because that is where these projects actually fail.
No account managers, no offshore handoff, no discovery deck. Whoever scopes your system is whoever writes it, and you have their phone number.
Fixed scope, fixed price, a date. No open-ended hourly billing and no discovery phase that quietly becomes the project. Scope changes are agreed before the work, not invoiced after it.
Your code, your data, your infrastructure, in Europe. No per-seat licence, no lock-in, no hostage situation if you take it in-house.
Neurova AI works where applied AI meets regulated data. That is a harder place to build than either on its own, and it is where the interesting problems are.
You can read how we think before you ever speak to us. The blog carries thirty-seven articles on AI in production, the EU AI Act, the MDR, NEN 7510 and building software for the Dutch market. Consider it the working version of a portfolio.
The form asks what you are trying to solve, what you think you want built, and when you need it. You will get a reply within one business day, from the person who would build it.
Get a quoteNew articles on applied AI and healthcare compliance, when there is something worth saying. No sequence, no drip campaign.