AI STARTUPS SEED–A

Take your AI prototype to production

The demo works. Real users, real data and real load are another story. We find what stands between your AI proof of concept and production, then build it — for a price agreed upfront.

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How it works

Fixed scope, fixed price, in this order

  1. Step 012 weeks

    Audit

    We review architecture, LLM cost and latency, reliability, security and data handling. You get a written report and a 90-day plan with a fixed price for the sprint.

    €4–8k

  2. Step 024–8 weeks

    Production sprint

    We build the plan: production backend, retrieval and evals, cost tracking, CI/CD, monitoring and access control. Demo every week, repo access from day one.

    €20–40k

  3. Step 03Included

    Handover

    Release, documentation and runbooks. Code, cloud and credentials are transferred to you.

    —

What you get

Yours to keep

Code, cloud, documentation and credentials stay in your accounts. No lock-in.

From our work

CASE 02 · AI / NLP ANALYTICS

OmniTrend — faster insights, room to grow

An AI analytics platform that turns large volumes of text into insights. After the rebuild, customers get results sooner and the product handles far more data — so it can take on bigger clients without breaking.

~50%FASTER PROCESSING
3×MORE DATA HANDLED
Book a call

30 minutes with an engineer. A written plan within days.

Free, no obligation. You talk to the engineer who would lead your project — not a sales rep.

  1. 01Pick a time that suits you and describe the problem in two lines
  2. 02You get a calendar invite with a video link right away
  3. 0330-minute call: goals, constraints, budget
  4. 04You get the recommended entry point, scope and price in writing

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30 MIN · ONLINE · YOUR TIME ZONE

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FAQ

AI to production: questions

Why do most AI pilots never reach production?

Because a demo only has to work once. Production has to work for every user, every day: with real data, predictable cost, monitoring, security and someone who owns it. Those parts are usually left for later — and later never gets a budget.

Do you rebuild our prototype from scratch?

Only if the audit shows it is cheaper than fixing it. Usually we keep what works and rebuild the parts that will not survive real load or real data.

Which models and stacks do you work with?

Any. OpenAI, Anthropic, open-source models, your own fine-tunes — in Python or TypeScript, on AWS, Google Cloud or Azure. We work in the stack you already have.

How do you keep LLM costs under control?

We measure cost per feature and per user, then cut it with caching, smaller models where quality allows, better retrieval and prompt changes — checked against evals so quality does not drop.

What does it cost?

The audit is €4–8k and takes two weeks. The production sprint is €20–40k for 4–8 weeks, at a fixed price agreed before we start.