We automate document- and email-heavy workflows for mid-sized companies – connected to the systems you already run, at a fixed price, hosted in the EU. You own the code.
Request an AI assessmentSee pricing →Frankfurt am Main · working across Germany
What we do
Agents and automation for incoming invoices, order intake, quotes, shared inboxes and knowledge search – from assessment to operation, at a fixed price.
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Custom software, interfaces and backend systems that connect AI to your ERP, CRM and document storage – documented and ready for your team to carry forward.
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Make existing systems AI-ready, de-risk architecture decisions and clear out legacy problems before you automate.
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Outcomes
No big promises – numbers you can compare before and after.
Before we start, we measure how much time a process costs today – and after the pilot, how much of it the agent takes over.
Your team handles more cases in the same time and focuses on exceptions, customers and decisions.
Every step the agent takes is logged. Unclear cases go to a person, with the reason attached.
Source code, documentation and runbook belong to you. No platform lock-in, no dependency on us.
How we work
We build AI systems you can inspect: a fixed price, measurable benefit and clear responsibility. If something will not pay off, we tell you before you spend money.
Kyluke maintains a high standard of code quality, which other developers confirmed was top notch. His breadth of experience helped us gain perspective and avoid pitfalls. He is reliable, smart, and a great teammate for keeping things professional.
Timothy Higgs — Project Lead
Selected insights
AI coding agents can help serious teams move faster, but only when the existing system is legible enough for them to work safely. For many products, the first AI productivity project is making the codebase understandable.
AI builders such as Replit Agent, Lovable, Devin, Cursor, and Claude Code can create convincing software quickly. The hard decision is when a prototype is ready to become a serious product.
AI-assisted development scales reliably only when system boundaries, data models, and operating rules are clear first.
AI coding agents are becoming part of software delivery. The hard question for product teams is how much autonomy they get, what they can access, and how their work is verified before it reaches production.
