Aiven co-founder raises $4.7M to rebuild CI/CD for the AI era: Avrea emerges from stealth in Helsinki
AI has removed the bottleneck of writing code. At Google, 75% of new code is now AI-generated. Tools like Claude, Codex, and Cursor are turning solo developers into small engineering teams. But here’s what nobody talks about: every line of AI-generated code still needs to be tested, validated, and shipped — and the systems that do that work were built for a slower era.
Avrea, a Helsinki-based startup emerging from stealth, has raised $4.7 million in pre-seed funding to rebuild the software delivery layer from the ground up — for the age of AI-generated code. The round was led by Earlybird, one of Europe’s most established venture firms.
The founders are not first-timers. Hannu Valtonen co-founded Aiven, the Finnish cloud database company that reached a $3 billion valuation in its 2022 Series D. Juha Valvanne co-founded Nosto, the globally leading commerce experience platform. Earlybird General Partner Paul Klemm — who himself spent time at Aiven before moving into venture — led the deal.
The problem: code ships faster than infrastructure can handle
If you generate five times more code with AI, you need to run five times more tests. Every pull request still needs to pass through CI/CD — the automated pipeline that tests, validates, and deploys software. And that pipeline was designed for a world where code was written by hand, at human speed.
The result is a bottleneck that is getting worse by the month. CI runtime is one of the most commonly cited pain points in developer surveys. Engineering teams wait for builds that should take seconds. Tests break in ways that are hard to diagnose. And the infrastructure costs scale linearly with the volume of code being produced — which, thanks to AI, is growing exponentially.
This is the same structural problem we’ve seen other European startups attack from different angles. Holmes, the Belgian QA startup we covered recently, is automating the testing layer. Avrea is rebuilding the delivery layer underneath it. Both are solving for the same reality: AI writes code faster than existing infrastructure can ship it.
How Avrea works: one-line migration, 27x faster builds
Avrea is an AI-native CI/CD platform that replaces the build and delivery infrastructure most teams run on today — typically GitHub Actions or GitLab CI. The migration is designed to be frictionless: teams can adopt Avrea with a single line of code in their existing workflow configuration. No rewrite, no new pipeline architecture, no migration project.
The performance claims are backed by public data. In a benchmark on the open-source terminal Ghostty, Avrea completed builds 27 times faster than GitHub Actions — with most of the speedup coming from intelligent caching. Across general workloads, the platform delivers 2–3x faster CI/CD pipelines and cuts infrastructure costs by up to 80%.
The technical approach has three layers:
Builds run on high-clock-speed CPUs reserved exclusively for CI work — not shared with other tenants. This eliminates the noisy-neighbour problem that plagues most cloud CI providers.
Full visibility into why builds fail — surfacing the root causes of flaky tests, stuck builds, and resource issues that traditional systems mask behind unclear error messages.
AI agents can directly interact with the delivery system — making Avrea a native part of how code is built, tested, and shipped by both humans and AI. Not bolted on; built in.
The founders: a unicorn builder and a commerce platform pioneer
The founding team extends beyond the co-founders. Avrea’s engineers come from Spotify and Hoxhunt (the Finnish cybersecurity company), and more than half of the team have previously built startups of their own. The company launched with ISO 27001 and SOC 2 certifications already in place — an unusual posture for a pre-seed business, and one designed to eliminate enterprise procurement friction from day one.
“AI has removed the bottleneck of writing code. But testing and delivery still scale linearly with output. If you generate five times more code, you need to run five times more tests, and the strain on CI/CD becomes impossible to ignore. Avrea removes that friction without requiring teams to change their workflows.”
— Hannu Valtonen, CEO & Co-Founder, Avrea
Why Earlybird backed it — again
The investor dynamic here is worth noting. Paul Klemm, the Earlybird General Partner who led the round, is not just a VC evaluating a pitch deck — he spent time at Aiven before moving into venture. He knows Hannu’s operating style, his technical judgment, and his ability to build category-defining infrastructure companies from the inside.
“Backing Hannu a second time was an easy decision. At Aiven, he built a category-defining infrastructure company and scaled it to unicorn status. But what makes Avrea especially compelling is the opportunity: AI is driving an explosion in code, and the systems that test and ship software are quickly becoming the bottleneck.”
— Paul Klemm, General Partner, Earlybird
The competitive landscape
Avrea is positioning itself directly against GitHub Actions and GitLab CI — the two dominant CI/CD platforms used by the majority of engineering teams worldwide. Both are feature-rich and deeply integrated into their parent platforms, but neither was architecturally designed for the pace at which AI-generated code is now being produced.
Several startups already offer faster CI runners — Buildkite and Depot among them. Avrea’s differentiator is the AI observability layer: rather than just running builds faster, the platform surfaces the root causes of failures, identifies patterns in flaky tests, and provides the kind of diagnostic intelligence that traditional CI systems hide behind generic error messages.
The open question — acknowledged by industry observers — is whether “faster CI plus AI observability” constitutes a standalone category, or a feature set that GitHub and GitLab will eventually absorb. Avrea’s bet is that the architectural gap is deep enough, and the AI coding acceleration fast enough, that a purpose-built platform will win over bolted-on features. The unicorn-founder pedigree and the Earlybird backing suggest the market agrees — at least at pre-seed.
What the funding enables
The $4.7 million will fund three priorities: scaling the engineering team, expanding the platform beyond CI/CD runners into a broader software delivery platform, and an initial European go-to-market push. Avrea is already running production workloads for a small set of paying customers and is hiring a Chief Revenue Officer, AI Lead, and senior platform engineers.
“We have entered a new era where software is built and shipped in collaboration with AI. As AI agents become part of the development process, they should be able to directly interact with delivery systems. Avrea is designed for this new reality.”
— Juha Valvanne, CSO & Co-Founder, Avrea
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