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01Services

Three fields.
One approach.

We don't work as a generalist supplier for hire but in three clearly defined fields — each following the same approach: understand the process, settle the solution, then build. And as efficiently as possible, not least through consistent use of AI tools.

Service areas
3
Approach
4 steps
How we work
AI-assisted, human-reviewed
Data region
EU / Austria
01
Web platforms

Bespoke websites & portals

< 1.2 s
target load time

B2B platforms conceived as infrastructure rather than campaign material. Very fast, delivered worldwide, and with content your own team maintains — without needing a developer to do it.

  • Corporate and divisional sites, multilingual
  • Client and partner portals with permissions per role
  • An editing system with preview before anything goes live
  • A kit of reusable building blocks for the pages that come later
  • Load time forms part of acceptance, not of the follow-up work
  • AI-assisted delivery shortens the path to the first visible version
ToolsNext.jsAstroTypeScriptGlobal CDNHeadless CMS
02
Process engineering

Internal systems & onboarding tools

−70%
manual steps per case (target)

We take processes that grew over the years apart and rebuild them as a system you can follow. The result: fewer manual steps, decisions on record, and numbers you can rely on.

  • Onboarding for new staff, including an audit-proof document trail
  • Approval chains with clear ownership and reminders
  • Dashboards that show the current state without anyone having to ask
  • Access rights per role, location and legal entity
  • Recurring tasks that run themselves instead of living in spreadsheets
  • AI handles the routine steps; sign-off stays with your people
ToolsWorkflow enginePostgreSQLSingle sign-onAudit trails
03
Systems integration

Enterprise software & integrations

99.95%
availability target for connected interfaces

The hard part is rarely the new build; it is connecting to what already exists. We link ERP, CRM and older applications through clearly documented interfaces — without stopping day-to-day operations.

  • Interfaces that are documented and don't break when they change
  • Older applications get connected rather than switched off
  • Data flows with a guarantee that nothing goes missing
  • Data migrations with a dry run, reconciliation and a way back
  • We notice faults before you do
  • AI speeds up making sense of undocumented legacy systems
ToolsREST & GraphQLMessage queuesOpenAPIKubernetesMonitoring
How we work

We work with AI —
and we say so openly.

Modern AI tools are a fixed part of how we develop. They take on the legwork: code scaffolding, test cases, data migrations, documentation, making sense of legacy systems nobody documented. That shortens projects considerably — and you don't pay hours for work a machine does faster.

What AI does not do here: decide. Architecture, security, data protection and factual correctness are owned by people. Every line that reaches production has been read, understood and reviewed by an engineer in our division.

30–50%
shorter delivery time on comparable projects
  • 01

    A working version sooner

    Scaffolding, interfaces and test cases take hours rather than days. You see something real earlier and can course-correct earlier.

  • 02

    Legacy systems understood faster

    Applications that grew without documentation get mapped and summarised by machine. That shortens precisely the part which usually makes integration projects expensive.

  • 03

    More checking, not less

    The time we save goes into tests, security review and finishing — exactly the work that is otherwise the first to be cut.

  • 04

    Traceable, with your data protected

    We use AI only where no confidential client data reaches external systems. What is processed where is agreed in writing before a project starts.

04Approach

Every step ends with something you can check.

  • Step 01

    Understand the process

    We look at how things run today, measure how long they take, and flag every step that exists only out of habit. Only then do we talk about software.

    Result — Process map, target picture, effort range

  • Step 02

    Settle the solution

    We decide how the parts fit together, which data belongs where, and what happens when something goes wrong. All in writing, so nobody has to guess later.

    Result — Solution outline, interfaces, test plan

  • Step 03

    Deliver in stages

    You get usable interim versions instead of one grand reveal at the end. New functions can be switched on individually — and off again if need be.

    Result — Usable stages, acceptance records

  • Step 04

    Support and keep building

    Monitoring, alerting and a handbook people can actually read are part of what we deliver. We stay responsible rather than handing over and disappearing.

    Result — Operations handbook, monitoring, roadmap

Does your project fit none of these fields?

Then it is probably a combination of them. Describe the case — we will tell you honestly whether we are the right people for it.

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