We build and run software with AI — end to end, with no lock-in.

We take on the full cycle: we build, we ship to production, and we keep what is already running alive. AI makes us faster. The method is what holds the quality.

Three fields, no strings attached. We reply within one business day.

Building with AI is no longer the hard part. Keeping it running in production is.

  • Something runs, and there is no one accountable for monitoring it, updating it and answering when it goes down.

  • What the system knows lives in the head of whoever built it, or in a prompt history no one will ever read again.

  • When it is time to hand it over, it turns out the code, the credentials or the context were never fully yours.

Any team can generate code with AI assistants today, and fast. Prototypes ship. Some even reach production. That is where the real problem starts: someone has to answer when it breaks on a Tuesday afternoon, understand why each decision was made, and keep adding features without breaking what already works.

This is not a talent problem or a tooling problem. It is an ownership gap.

Two ways to work with us

Hire either one, or both. We start wherever it hurts most.

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Production operations and maintenance

We take over a system that already exists and keep it working: monitoring, bug fixing, dependency and security updates, and response when something goes down.

  • Contracted per product, with a written scope: what it covers, with what response times and in which coverage window.
  • Works for a system you built yourselves and for one inherited from another vendor.
  • Before touching anything we run an assessment: what exists, what it depends on, where the risk sits, what is undocumented.
  • Every intervention is written down, and once a month you get an operations report: what we did, what broke and why, and what deserves attention next month.

Continuous development

We build new software or evolve what is already there, in short cycles. Each cycle ends in something usable and verifiable, not in a progress report.

  • Scope bounded per cycle, with acceptance criteria written before we start.
  • Whatever we build enters the operating scheme on day one, not when the project ends.
  • Repository, infrastructure and accounts are in the client's name from the start.

We shape the business model around what each client needs — we do not impose a single format. What is fixed is that it gets put in writing before we start. We do not publish generic rates or response times, because they depend on the system, on the risk it tolerates and on the coverage window you need: we agree on those case by case, also in writing.

What each part of that headline actually means

  • Three pillars

    End to end

  • Three pillars

    With AI

  • Three pillars

    No lock-in

Leaving should be easy. If it is not, the relationship runs on dependency instead of results.

A method, not a promise

Available to clients from Q1 2027

What keeps AI speed from being paid for in quality is not the tool: it is the process around it. This is ours, and it is the same on every project.

Our framework

mateWayAI implementation in your team

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What people ask us before starting

Doesn't using AI lower code quality?
It lowers quality when AI replaces judgement. In our process AI speeds up repetitive work — scaffolding, tests, mechanical migrations, exploring alternatives — and everything it produces goes through human review and an independent check before it reaches production. The tool provides speed; the process holds the quality.
Who are you, and why should we believe you?
We are a small team that builds and runs software. We are not going to win you over with a client counter or years in business. We would rather you judge the method: when we talk we walk you through how we work, control by control. And if you want to see it in action, we start with a small, time-boxed scope where the cost of being wrong is low.
Do we end up locked in?
No. Code and infrastructure live in the client's accounts from day one, and documentation is written so another team can pick the project up. If you decide to leave, there is nothing to claim or migrate: it is already yours. All we ask for is reasonable notice so the handover is orderly.
Can you take over something someone else built?
Yes — it is one of our two service lines. We start with an assessment: what the system does, what it depends on, where the risk is and what is undocumented. The work plan comes out of that. The assessment is yours to keep, even if we do not continue together.
Do you work with our internal team or replace it?
We work with it. Typically the internal team knows the business better than anyone and simply does not have the capacity to hold production on top of everything else. That is where we come in: we cover what they cannot, using the rules and tools they already have.
Will you sign an NDA?
Yes, and it is the first thing we sign if needed, before we look at code or data. We also never show or name the work we do for others — which is why this page has no client logos. What we do with you will not be told either.
How do we start?
With a conversation to understand the context. If it makes sense to continue, we send a bounded scope in writing: what gets done, in how long, and how we will know it worked. Only then is there a decision to hire anyone.
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Let's talk about the system

A conversation to understand what you have and what is missing. You get a concrete recommendation out of it, even if it does not involve us.

  1. A conversation

    You give us the context, we ask questions. No credentials pitch, no deck.

  2. A written assessment

    After that conversation we send what we would do first, in what order, and the risks we see. Free of charge.

  3. A bounded pilot, if you want one

    If you decide to move ahead, we start with a small scope and a closing date. If it does not work, it stops there.

Contact us

Three fields. We reply within one business day.

Or write straight to hola@matelabs.io

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