210,000+ users in our appsBuilding since 2018 · Frechen, GermanyCurrently: 2 slots open for Q3 2026info@thecodecave.de+49 152 04943138Frechen · NRW · DE210,000+ users in our appsBuilding since 2018 · Frechen, GermanyCurrently: 2 slots open for Q3 2026info@thecodecave.de+49 152 04943138Frechen · NRW · DE
// AI software development

Have your AI solution built — by a studio that runs AI products of its own.

Everyone talks about AI. We build the software that actually takes work off your plate: integrated with your systems, GDPR-compliant, at a fixed price. A prototype on your real data first — then you decide.

  • Real software, not a chat demo
  • Prototype on your real data
  • GDPR-compliant — EU or on-prem
// The problem

Everyone talks about AI. Few save a single hour with it.

The pressure is real: competitors announce AI, the team experiments with ChatGPT, management asks about the strategy. What usually comes out of it: pilot projects nobody opens again after the demo.

The chatbot nobody uses

A chat window on the website or intranet — sounds like AI, saves nobody any work. Four weeks later it’s forgotten.

The demo with no connection

The prototype impresses in the meeting, but it doesn’t know your data and writes to no system. So everything stays as it was.

Copy-paste instead of automation

Employees copy text into ChatGPT and back again — no data protection, no quality control, and no process gets any faster.

// How it works

Four steps to AI that actually works.

No strategy workshop that ends up in a drawer. We start at the concrete process — and prove with a prototype what the AI delivers before you invest big.

  1. Workflow analysis

    We look at the process that eats time: which documents, which systems, which manual steps. Afterwards you know whether AI pays off here — and what it costs.

  2. Prototype on real data

    Within a few weeks we build a prototype — on your real receipts, emails or documents, not sample data. You see in black and white what the AI gets right.

  3. Integration into your systems

    The AI becomes part of your software landscape: ERP, DATEV, Outlook, Slack, CRM. No new island with its own login — results land where the work happens.

  4. Operation & monitoring

    After go-live we monitor quality and cost: error rates, model updates, new cases. The AI gets better every month — not worse.

// Done-for-you

You bring the process — we deliver the AI solution.

No data science team for you to hire, no model for you to train. You bring your process and your documents — we deliver software that runs in production.

You provide

  • The process that eats time today — and how it should run
  • Real data from daily work: receipts, emails, documents

We deliver

  • A workflow analysis with an honest cost-benefit assessment
  • A prototype on your real data — at a small fixed price
  • Integration with ERP, DATEV, Outlook, Slack or your CRM
  • Operation, monitoring and human-in-the-loop approvals
// Use cases

Four patterns that repeat in almost every business.

No invented references: these are the patterns we build — one of them runs in production at tax firms as our own product.

Reading receipts & documents

Invoices, receipts, delivery notes: the AI reads date, amount and line items and books them into your system. That’s exactly how our product TaxCastle works — in production, with a DATEV connection.

Email triage

Incoming emails are read, categorised and matched to the right case — with a finished reply draft. Your team only approves.

Quote & report drafts

Keywords, photos or voice notes become a finished draft in your house format. Two hours of writing become ten minutes of review.

Knowledge search across internal documents

Contracts, manuals, meeting notes: employees ask in plain language and get the answer with its source — instead of twenty minutes of digging through folders.

// Why us

We build our own AI products. That changes everything.

Many agencies added AI to their reference list. We run it in production: TaxCastle reads receipts with AI and books them into DATEV, our document automation runs daily — and since 2018 we’ve shipped software that lives in the stores.

2018
in business since
20+
apps live in the stores
210,000+
users across our apps

AI in production, not in a slide deck

TaxCastle and our document automation run daily on real data. We know the failure cases, the costs and the limits — before your project starts.

Software craft first

AI is a feature, not an end in itself. We’ve built apps and platforms since 2018 — auth, databases, integrations. Your AI solution is real software, not a pile of scripts.

AI development from Frechen near Cologne

German contracts, one contact, short paths. We explain in plain terms what the AI does — and what it doesn’t.

// Security & GDPR

Your data stays your data.

AI and data protection don’t rule each other out — if the architecture is right. We build GDPR-compliant by design, not as an afterthought stamp.

EU hosting or on-prem

Processing in European data centres — or, if you prefer, entirely on your own infrastructure. With a data processing agreement and documented data flows.

No model training on your data

Your documents train nobody’s models. We use models with a contractually guaranteed training opt-out — your data stays inside the processing context.

Human in the loop

On uncertain cases the AI doesn’t decide alone: it flags, a person approves. Every decision stays traceable — with an audit trail.

// Investment

Prototype first. Decision second.

No six-figure AI budget on a hunch: we start with a small, fixed-price prototype — we name the price after the free intro call. Only when the prototype convinces on your data do we move to the build-out.

Fixed-price prototype

A clearly scoped prototype on your real data — small and fixed. You see the hit rate before you invest further.

Fixed-price build-out

If the prototype convinces, we quote integration and go-live fixed — no open-ended hourly budget, no surprises.

Operation for a monthly fee

Monitoring, model updates and quality reports for a predictable amount — so the AI still delivers a year from now.

Fixed price after a free intro call — no hourly rate, no budget on a hunch.

Free intro call
// Guarantee

The prototype proves it — or we decline.

We carry the risk, not you.

Prototype before budget

You see the AI working on your real data before you release a big budget. No blind flight based on a slide demo.

An honest no

If the workflow analysis shows AI won’t solve your problem economically, we say so — and recommend the cheaper route. Better an honest no than a dead pilot project.

// FAQ

Frequently asked questions

What businesses ask most before getting started — answered briefly and honestly.

  • What does an AI solution cost?
    Honestly: it depends on the process. That’s why we don’t start with a big project but with a small, fixed-price prototype — we name the price in the free intro call. Only when the prototype convinces on your data do we quote the build-out — also at a fixed price.
  • Do we need our own data or a trained model?
    No. Modern AI models understand language and documents out of the box — we connect them to your documents and processes instead of training a custom model for months. What we do need: real examples from your daily work for the prototype.
  • Is this GDPR-compliant?
    Yes — if it’s built right. Processing in EU data centres or on-prem, a data processing agreement, documented data flows. And: your data trains nobody’s models — that’s contractually guaranteed.
  • What if the AI makes mistakes?
    It will make some — the question is what happens then. We build in validation and a human in the loop: uncertain cases are flagged and approved by a person, not silently booked. Plus an error report that shows where the AI misses — so it gets measurably better.
  • Which processes are a good fit for AI?
    Good candidates: recurring, document-heavy, with clear rules — capturing receipts, sorting emails, writing drafts, finding knowledge. Poor candidates: rare one-offs and high-stakes decisions. That’s exactly what we check in the workflow analysis — honestly.
  • How fast will we see results?
    You see the prototype on your real data within a few weeks — not after months. From then on you decide based on real results, not slides.
  • Will the AI replace employees?
    The honest answer: it replaces no skilled staff — it takes the routine off their plate. Retyping, sorting and searching go to the software; deciding, checking and approving stay with people. The result: hours per week back for the work you hired your team to do.
// Get started

Tell us about the process that eats your time.

A free intro call is all it takes. We tell you honestly whether AI pays off there, what the prototype costs — and what you can save yourself.

Prefer a quick message?

We’ll get back to you within 24 hours on business days — no obligation.

Call Enquire