We raised €1.1M to fix AI coding drift

For the last two years, the industry optimized for one thing: speed.

Code generation got faster. Agent UX got better. And still, engineering leaders tell us the same thing:

“We’re writing more code than ever, but we’re not delivering any faster. Review cycles are slowing us down, and technical debt keeps piling up”

That’s the real bottleneck.

AI coding agents can write in seconds — but they don’t know your architecture decisions, your security constraints, your naming conventions, your internal “how we build here.”

So teams end up in a new loop: generate, review, correct, repeat.

Not because models are dumb. Because organizational context is missing.

Today, we’re announcing that Straion raised a €1.1M seed round led by Marathon Venture Capital to solve this problem.

Marathon VC

The problem we’re building for

If you run an engineering org with real complexity, you know this pain very well:

Standards live across scattered files and stale docs.
Different repos encode rules differently.
Senior engineers spend cycles babysitting AI output.
Review becomes cleanup instead of quality leverage.
Token burn and implementation detours quietly multiply.

This is what “prompt-and-pray” looks like at scale.

Our thesis

AI Assisted Coding only works if the rules layer exists.

Not “put more docs in the prompt.” Not “add another static markdown file.” Not “hope the model figures it out.”

You need infrastructure that gives AI systems the right rules for this task, at the right time, and verifies direction before code gets written.

That is what we built Straion for.

How Straion works

Straion helps teams:

Centralize engineering standards in one rule hub.
Select relevant rules dynamically for each task.
Validate plans before implementation, not only after code generation.
Integrate into existing workflows (Claude Code, Cursor, Copilot, and others).

The goal is straightforward: increase development speed, minimize drift, and strengthen confidence in the reliability of generated code.

Why this round matters

We started Straion in Linz after years of seeing this problem from inside enterprise software environments.

As AI coding moved into enterprise teams, the gap became obvious: everyone was building faster engines, almost nobody was building steering.

This funds let us accelerate three things:

Product depth in rule governance and plan-stage validation.
Integrations for scaled engineering workflows.
Hiring mission-driven builders in AI engineering and full-stack.

What we believe

The future of software is autonomous. But autonomy without organizational alignment is just faster entropy.

We’re not here to make AI code faster for demos. We’re here to make AI-generated code trustworthy in production.

Stay on track.

— Lukas, Katrin und Fabian

If you lead an engineering team and want to stop AI drift before review, we’d love to talk.