Services

The code is rarely the whole system.

Bring the product outcome or technical constraint—not a preselected stack. We work across mobile, web, backend, data, AI, architecture, and operations, and own the hands-on delivery needed to make the right answer real.

01

AI sprint

The one-week AI sprint

One working AI workflow in your hands within a week—then daily iterations with your team until it earns production.

Common signal

You need to know whether AI can really move a workflow, and you cannot wait a quarter—or fund a discovery phase—to find out.

What changes

  • A working build in under one week, against your real data and constraints
  • Daily iterations with your team—scope follows evidence, not a fixed document
  • A clear decision at the end: scale it to production with us, or keep it and continue on your own

Typical systems

  • AI workflow prototypes that survive contact with real data
  • RAG, agents, and document automation
  • Product, backend, and integration work inside the same sprint
  • Free estimate and fixed price—your MVP never exceeds €5,000

Good fit: Best for founders and leaders who want evidence in days, not months—and a senior team all-in on one problem at a time.

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02

AI systems

Production AI systems

Move one valuable AI use case from prototype to a measured, integrated product workflow.

Common signal

You have a promising AI concept, but reliability, data, evaluation, or integration is still unresolved.

What changes

  • A narrow workflow with a business owner and acceptance criteria
  • Evaluation, observability, human review, and safe fallbacks
  • Integration with the product and data systems you already operate

Typical systems

  • RAG and document intelligence
  • Agent and tool orchestration
  • Natural-language data access
  • Multi-tenant AI product architecture

Good fit: Best for product teams with real users, accessible data, and a workflow a human can verify.

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03

Automation

Workflow and revenue automation

Replace fragmented tools and manual handoffs with one reliable operating flow.

Common signal

Payments, CRM, content, attribution, or internal approvals depend on people moving data between systems.

What changes

  • One source of truth instead of conflicting platform state
  • Recoverable automation with explicit failure handling
  • Clear operating procedures for the team after handoff

Typical systems

  • Payments and entitlements
  • CRM and lifecycle automation
  • Attribution and server-side events
  • Operational workflow integration

Good fit: Best for established offers and operations where a broken handoff has a measurable cost.

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04

Product engineering

End-to-end product engineering

Take a product from an ambiguous brief to a production web, mobile, backend, or platform system.

Common signal

You need one senior team to shape and ship the product, or an inherited system is fighting the team and needs a credible path forward.

What changes

  • A product and technical direction with explicit tradeoffs
  • A working end-to-end implementation across the layers the outcome requires
  • A production system your team can operate, extend, and own

Typical systems

  • Web applications and platforms
  • Native and hybrid mobile applications
  • Backend systems, APIs, and data architecture
  • Architecture, modernization, performance, and delivery

Good fit: Best for founders and product leaders who want a senior team with product judgment and hands-on engineering, without coordinating multiple specialist vendors.

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Start with the problem

Start with one consequential problem.

Send the outcome, why it matters now, and what is blocking it. We’ll tell you honestly which path makes sense and whether we are the right team.