AI that takes over the work your people shouldn't be doing
Invoices that book themselves. Emails that turn into orders on their own. An archive that gives answers instead of search results. We build AI into your own business software — and where the old system stands in the way, we modernise that first.
13 clients
run AI, not pilots
25+ years
from Javelin ICT and InfoSphere
37 apps
maintenance and further development
Stays yours
on-premise too, with an audit trail
Most AI projects don't fail on the AI
They fail on the system underneath. The data the model needs is locked in an application without an integration. The knowledge sits in PDFs nobody searches. The database is twelve years old and nobody dares touch it. Then every AI demo stays a demo.
That is why we do both: the foundation and the layer on top. That is why our AI projects reach production instead of getting stuck in a pilot.
What we are good at
AI in your own software
Understanding documents with sources, searching your own archive, classifying and routing tickets automatically, an assistant that doesn't just answer but also acts.
Processes that run themselves
We take one process that is manual work today and automate it end to end, with an approval step wherever a person needs to look. Measurable in hours per week.
Outdated applications made agile again
Integrations on systems that have none, data that becomes clean and accessible again, modernised step by step without closing the shop.
All three built on Laravel — and if you only need a web app, a mobile app or maintenance, that works too:
What runs at our clients
14
hours of retyping saved per week
Packing slips that book themselves
Technical wholesaler, 140 employees — PDFs from the mailbox are read, checked and created as orders in the ERP.
Laravel · RAG · ERP integration
6
weeks until the first integration went live
A core system from 2012, opened up again
Manufacturer in the Brainport region, 320 employees — an API layer next to the existing system, without production downtime.
Laravel · API · migration path
38.000
documents searchable with their source
The archive gives answers
Engineering firm, 85 employees — staff ask a question and get the answer with its source.
Laravel · embeddings · SSO
Prove first, then build
With AI that is not a matter of style but a necessity: whether a model is reliable enough in your situation, you only know once it has been let loose on your own data.
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01
Use case and yardstick
One process, with agreement up front on when it is good enough. These documents, this margin of error, this turnaround time.
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02
Proof of concept on your own data
The hardest part first, measured against a set of examples with the right answer.
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03
Hardening and integration
Error handling, a cost ceiling, logging of every decision, approval steps and a fallback for when the model is down.
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04
Phased rollout
First one team or one site, then the rest. Never one moment where everything has to go right.
What happens to your data
This is the first question every managing director asks — and most agencies leave it unanswered.
Your data trains nobody's model
Business contracts that rule it out — or fully on-premise.
Personal data filtered
Taken out before anything goes to a model.
Every decision traceable
What went in, what came out, which source. No black box.
No lock-in to one supplier
Built supplier-independent; switching doesn't take a rebuild.
We build everything on Laravel. AI features are rarely the problem — running them reliably is. Laravel gives us queues for heavy tasks, scheduled processing, permissions and logging built in. And because it is the most widely used PHP framework in the world, any other developer can take over your code.
Half an hour costs you nothing
Tell us which process takes the most manual work. We will tell you honestly whether AI is the solution for it, or whether something else needs to happen first. That advice is free, even if you decide not to continue with us.