Our Story.

I started as an AWS cloud architect in consulting. Good projects, technically demanding, at large clients. But the model bothered me. Selling hours instead of delivering results. Large teams with thin expertise. Slide architecture instead of working systems. Generalists who could do a bit of everything but nothing well.

What I wanted was a company that focuses on what it does best. AWS architecture, technically deep, with the ambition to be the best at it. Not the biggest, not the cheapest. The best.

In 2020, I founded FNTIO. Frankfurt, enterprise market, a small team. The idea was simple:
we deliver things that work, and we take responsibility for them. No founder myth, no pitch deck. A clear technical conviction and the will to make it happen.

The first projects came quickly. For the State of NRW, we joined the project team as an infrastructure partner to help build a learning platform for thousands of schools during COVID. Volkswagen was looking for someone to build ML infrastructure for autonomous driving. We worked on it for two and a half years.
Deutsche Börse came for data engineering.

We didn't win any of these projects through pitches. Clients came because they had heard that we deliver.
A small team that achieves more than the big consultancies because everyone knows what they're doing.
The team grew to around 20 engineers during this phase.

What defines FNTIO wasn't written on slides. It emerged because we work project-based and the result counts, not the hours. When you're responsible for the outcome, you think longer-term. You choose the better architecture, not the faster one. Quality becomes self-interest.

The conviction: everyone should master the tools they recommend. That sounds obvious.
In the consulting industry, it isn't. For us, it's a principle.

This attitude spread through the team. Not as a policy, but as a way of working. People who work with us want to understand the tools, not just use them.

Our engineers started using AI tools in their daily work in 2022. Not as an experiment, not in an innovation lab. In live client projects, in production. Code generation, testing, documentation, infrastructure.

It wasn't a strategic decision. Technical people use tools that work. But the consequence was clear: when engineers are three times more productive with AI, you don't sell hours anymore. You sell results.

So we adapted our model. Projects with accountability for results instead of hourly billing.
Not every client wanted to go down that path. But those who stayed wanted the same thing we did: partnership and measurable outcomes.

What we built at Siemens, Siemens Energy, and others showed what it's really about: the combination of cloud infrastructure and AI. Not AWS alone, not AI alone. The combination. Enterprise AI platforms that run in production, scale, and are secure.

"Your deep expertise in cloud infrastructure, in combination with AI best practices, is a rare intersection of skills which we highly appreciate."

Marco Vernaza, Product Owner, Siemens

I hear this often: finding deep cloud expertise and AI together is rare. That's no coincidence. It's the result of taking both seriously since 2020.

Six years after founding. A focused, fully remote team that uses AI productively every day. AWS Select Tier Services Partner. Projects at DAX corporations and in the public sector.
Our own product in development.

FNTIO is not the company I planned in 2020. It's better. Not because everything went according to plan, but because we made the right decisions along the way.

What has remained since day one: we deliver things that work.
And we take responsibility for them.