- Do you have an office in Amsterdam?
- No. We are headquartered in Stockholms lan and work with Amsterdam clients remotely, travelling for kickoffs and key milestones. There is no time difference, so the working day overlaps completely.
- How much does AI agent development cost in Amsterdam?
- We publish bands rather than making you ask. A scoped single-workflow build is the usual entry point, with a shorter opportunity review ahead of it if the use case is not settled. What moves the number is how many systems the agent touches, how usable your data is, how expensive a wrong action would be, and who operates it afterwards. Full breakdown on the pricing page.
- Do you work with early-stage scale-ups or only enterprises?
- Both, though the entry point differs. Scale-ups usually start with one agent or a lead-generation pilot, because the pain is specific and someone will adopt the result immediately. Larger companies more often start with a consulting sequence to decide which use case is worth doing first.
- Does our project qualify for the WBSO R&D tax credit?
- Development work with genuine technical uncertainty often does, which meaningfully lowers the net cost. We can structure our documentation so the engineering work is legible to a WBSO application, but your own tax advisor should assess eligibility and file it. We are not tax advisors.
- How is data protected under GDPR?
- Data stays in the EU by default. Before a project starts we document the legal basis, the processor chain, where each processor stores data, and the retention period. If the workflow makes an automated decision affecting a person, we identify it explicitly and design the human review gate around it.
- What does the AP's position on algorithmic decisions mean for us?
- It matters if your workflow ranks, scores or filters people. The Dutch authority has been among Europe's more assertive on automated risk scoring, so anything touching hiring, credit or access to services needs deliberate classification and a documented human review step rather than an assumption that it is low risk.
- How quickly can we see something working?
- The first deliverable runs on your own data, including the messy records, usually inside the first week or two of a build. That is deliberate: a prototype on real data is the fastest way to surface the missing fields and undocumented exceptions that would otherwise derail month three.
- Which Dutch sectors do you work with?
- Fintech and payments, logistics and supply chain, marketplaces and adtech, and scale-ups around Series A or B. The recurring shape is a high-volume workflow with rules that are mostly written down and exceptions that genuinely need a person.
- Can you run AI lead generation for the Dutch market?
- Yes. We identify and score prospects from public and first-party signals rather than buying a list, which matters more in a GDPR context than people assume. The output is a ranked, evidence-backed shortlist your sales team can act on, not a volume dump.
