Custom applications
Web apps, customer portals, internal tools and dashboards — built around your workflow, not around the assumptions baked into a generic product.
- Portals & internal tools
- Fast, responsive interfaces
- Roles, permissions, audit trail
Software studio · Automation · Local AI
We build custom applications, automate repetitive processes and deploy AI models that run locally, on your own infrastructure. No templates, no rented platforms — just systems built around the way you already work.
We start from the actual problem inside the company, not from the technology. The stack gets chosen once we understand the workflow, the volume and the people who use it every day.
Web apps, customer portals, internal tools and dashboards — built around your workflow, not around the assumptions baked into a generic product.
Anything done by hand, repeatedly and predictably, can be automated: moving data, generating documents, notifications, reporting, checks.
Open-weight models installed on your server or in a private cloud. Documents and conversations stay inside the company, with no per-seat subscriptions.
We connect the systems that don't talk to each other today: ERP, CRM, invoicing, online store, legacy applications or files still passed around by email.
We collect data from every source, clean it and turn it into numbers you can check daily — instead of spreadsheets rebuilt by hand every week.
We stay on after delivery: monitoring, updates, optimisation and new features, at the pace the business actually grows.
Most companies simply cannot upload contracts, HR files or production data to a public service. The answer isn't to give up on AI — it's to bring it in-house: open-weight models running on your own server, inside a network you control.
Four clear stages, with something to show at every step. You always know where we are and what comes next.
We sit down with the people doing the work. We map the current flow, the bottlenecks and what "solved" means in numbers.
We quickly build a working version of the highest-impact part. You test it on real data before committing to anything large.
Development in short iterations, with regular demos, integration into existing systems and training for your team.
We monitor, update and extend. The documentation and the code remain yours, with no forced dependency on us.
Situations we meet in manufacturing, distribution, professional services and retail.
Invoices, delivery notes and orders read automatically, validated and passed on to accounting or the ERP.
An internal assistant that answers from procedures, contracts and quotes, pointing back to the source document.
Stock, prices, customers and orders kept in sync between the store, the ERP and your sales channels.
The same numbers, generated automatically at the same hour from the source of truth — with history and alerts.
A portal with order status, documents and automatic notifications, instead of repeated calls and emails.
Emails and tickets classified, prioritised and routed automatically to the right team.
Yes. How clearly the problem is defined matters more than the size of the company. Many projects start with a single automated workflow and grow from there.
It depends on scope, but we work in short iterations: the first working prototype reaches you early, and from there we build incrementally, with priorities set together.
Yes. We hand over the source code, the documentation and access to the infrastructure. We don't build artificial dependencies — the collaboration continues only if it still makes sense for you.
When the data is sensitive — contracts, HR files, production recipes — running locally removes the entire question of where the information ends up. Where that isn't a concern, we use cloud services too; we decide per case, not on principle.
For most internal use cases, a single GPU server covers a whole team. We assess real usage volume and recommend the smallest configuration that holds up, without over-provisioning.
Yes. We start with a technical review of the code and infrastructure, then propose a plan: continue, partially refactor or rewrite, with the reasoning behind each option.
Write us a few lines about the process eating your time, or about the application you need. We'll come back with a first assessment and concrete next steps.
We reply to every message, even when the conclusion is that we're not the right fit for the project.