AI studio for working prototypes

Ideas bloom overnight.

Plant an idea at night. Wake up to done.

Moonbloom Labs is an AI studio for working prototypes. Tell us your idea in a short evening call; AI agents build it overnight, following a plan a senior architect has reviewed. In the morning you review a working prototype, its tests and a short list of decisions only you can make.

A prototype, not a production system. We agree the scope in the evening so it fits one night.

From evening idea to morning prototype

One evening, one night, one morning. Then you decide.

  1. Evening

    You describe the idea

    In a short call or a written brief you tell us what you want to see working. Together we cut it to a scope that fits one night.

  2. Night

    Agents build and test

    AI agents write the code and its tests, following the plan a senior architect reviewed before the build started.

  1. Morning

    Prototype, tests, demo, questions

    You receive a working prototype, its tests, a short demo and a list of open questions and decisions.

  2. Decision

    Approve or refine

    You decide what happens next: approve it, refine it in another night, or plan the path to production.

What we build

Six areas where an overnight prototype answers the question that matters first: does this idea work?

  • RAG & AI search

    Ask your company documents questions and get answers with citations to the source.

  • Knowledge management

    Turn scattered docs, wikis and chats into one searchable, maintained knowledge base.

  • Gamification

    Game mechanics for learning, onboarding, engagement and financial literacy.

  • AI integration

    Language models and agents connected to your existing systems, APIs and workflows.

  • DevOps & cloud

    CI/CD, Kubernetes, AWS, infrastructure as code and observability, so prototypes can become production systems.

All services

Why Moonbloom

  • A human decides, agents build

    AI agents do the building. People set the goal, review the result and approve every step. Nothing ships without human approval.

  • A senior architect behind every build

    Every build is planned and reviewed by an AI and cloud architect with more than 20 years in cloud, DevOps and AI/ML.

    Learn more : A senior architect behind every build
  • A path to production

    Prototypes come with tests and a clear structure. When you approve one, our DevOps and cloud work can take it to production.

    Learn more : A path to production

What you get in the morning

Everything you need to make a decision over your first coffee.

  • A working prototype. Something you can click through, call or try, not a slide deck.
  • Tests. Automated tests that show what works and what was checked.
  • A short demo. A walkthrough of what was built and how to try it yourself.
  • Open decisions and questions. A short list of choices the agents should not make for you, ready for your answers.

Questions before you plant

Prefer to talk? Book a call and tell us when suits you.

What fits into one night?

One clear idea with a core flow you can try. For example: a chat over a sample of your documents, an assistant for one support topic, or a connection between two systems. If your idea is bigger, we build the part that answers your most important question first and plan the rest as further nights.

What if the prototype isn't good enough?

Tell us what is missing and we refine it, usually in another night. The morning list of open decisions is there so you can steer before more gets built. A prototype is a fast way to learn whether an idea works; it is not a promise that every idea will.

Is my idea and my data kept confidential?

Yes. We treat what you share as confidential and can sign an NDA before you go into detail. Where possible we build with sample or anonymised data, and we agree with you up front which AI services may process it.

Which technologies do you use?

Whatever fits your environment. Typical choices are Python or TypeScript, language models from established providers or open-weight models, and container-based deployment on AWS or Kubernetes. If your team has a standard stack, we build on it.

Who owns the code?

You do. The prototype code and its documentation are yours. [TODO: confirm IP terms]

How much does it cost?

[TODO: pricing]

Do you work in English and Slovak?

Yes. The intake call, the brief, the prototype's interface and the documentation can be in English or Slovak.

What happens after the prototype?

You decide. Keep it as a demo, refine it over further nights, or turn it into a production system with our DevOps and cloud work: CI/CD, infrastructure as code, monitoring and hardening.

Have an idea for tonight?

Tell us about it. We'll reply to agree the scope and an evening to start.