We get your teams working with data and AI.

Not with a slide deck, but by building it together. Qvada works as forward deployed engineers: we join your team, set up the data platform and DevOps, bring AI into everyday engineering work, and hand it over as soon as your team can run it themselves.

Course of an engagement: at the start Qvada does most of the work, at the end your team does all of it. Qvada Your team Join Build Hand over Step back
Who does the work, from the start to the end of an engagement. By the end, your team runs it on its own, and knows why it works.

Sound familiar?

The AI pilot stays a pilot

The demo worked. But in the real delivery pipeline, with real data and real security, it never got any further.

The data platform depends on one person

Something was built, but nobody else dares to touch it. Releases are manual, and the knowledge lives in one head.

The team is willing, but doesn't know where to start

There is no time to figure it out next to the day job, and a training course doesn't make it concrete enough.

What we do

Data platform as code

We set up Microsoft Fabric from configuration in Git, not by clicking through portals. Every environment can be rebuilt and every change can be traced.

DevOps that works

Pipelines, environments and releases without manual steps. What works in test today goes to production tomorrow, unchanged.

AI in everyday work

We put coding agents and skills into your own delivery pipeline, with the agreements and checks that go with them. Your team learns to work with them by doing it.

How we work

  1. Join

    We work in your environment, with your team, from your backlog. Not as a separate project on the side.

  2. Build

    We build the real thing, not a proof of concept. Your people build along from day one.

  3. Hand over

    What we know goes into code, documentation and skills. It doesn't stay in our heads.

  4. Step back

    We deliberately scale down our involvement. The goal is that you no longer need us.

Read why we work this way

Who we work for

We work for large organisations, from around 500 million euros in revenue, with their own IT and data teams. That is where setting up a data platform and AI properly pays off, and where there is a team to take it over afterwards.

Is your organisation smaller? Then we are probably not the best fit. You can use EasyFabric on your own, though.

Why you won't find client logos here

We don't name our clients. We agree that with them, and we will agree it with you too. In a conversation we are happy to tell you what we have built.

EasyFabric

Our own platform-as-code for Microsoft Fabric. You describe sources, tables and models in YAML, and an Azure DevOps pipeline deploys the complete platform, from source data to semantic model. We use it whenever we set up Fabric. You can also use it on your own.

Go to easyfabric.com

Shall we talk?

A conversation with an engineer, not a sales pitch. You tell us where your team stands, we tell you honestly whether and how we can help.

Email us