When AI writes more code than your engineering team, who controls the kill switch? Unleash, the Oslo-based open-source feature management company formally registered as Bricks Software AS, just closed a $35 million Series B led by One Peak Partners to answer that question at scale. The round brings total funding to $51.5 million and arrives at a moment when European enterprise software deals are starting to reflect sustained revenue rather than early-stage optimism.

The financing is more than a growth bet. It is a direct response to a structural shift in how software reaches production. Google's 2025 DORA report found that AI adoption among software professionals hit 90 percent, up 14 percentage points in a single year. The same report confirmed that the correlation between AI usage and software delivery instability persisted. More AI code means more risk, and Unleash is selling the safety net.

For a city better known for sovereign wealth than software venture capital, Oslo has been producing a notable crop of enterprise startups. Unleash joins a growing list of Norwegian companies that are proving Nordic enterprise software can compete at the growth stage, not just at seed.

Unleash sells a commercial version of its open-source FeatureOps platform, originally developed by Chief Technology Officer Ivar Osthus. The tool is built around feature flags, conditional switches in code that allow developers to enable or disable functionality at runtime without redeploying an entire application. In a world where AI-assisted coding tools are accelerating the pace of releases, the ability to surgically roll back a single faulty feature rather than pulling an entire deployment has shifted from nice-to-have to operationally critical.

The pitch is grounded in data that has grown harder to dismiss. Google's DevOps Research and Assessment group published findings in its 2024 DORA report showing that for every 25 percent increase in an organization's AI adoption, software delivery stability dropped by 7.2 percent. The blunt summary: AI does not fix a team. It amplifies what is already there.

Where DevOps concerns itself with moving code into production quickly and reliably, FeatureOps governs how features are exposed to users once they are live, including the ability to roll out changes to one percent of traffic before scaling to everyone. Think of it as a dimmer switch for every feature in your stack.

Chief Executive Egil Osthus told reporters that Unleash now serves customers across financial services, healthcare, and government, industries where the consequences of a bad deployment extend beyond a broken checkout page. The company's open-source roots give it an unusual distribution advantage. Developers discover the tool organically, validate it in side projects, and then advocate internally for the commercial version when their employer needs enterprise-grade controls.

That bottom-up adoption model is notoriously difficult to manufacture. Companies like HashiCorp, GitLab, and Elastic built billion-dollar businesses on it. Unleash appears to be following the same playbook in a category, feature management, that most of those companies never addressed directly.

Norway's startup ecosystem has historically punched below its weight relative to Sweden and Finland when it comes to enterprise software. The country's strengths, energy, maritime, and seafood, produced deep-pocketed corporates but fewer developer-tools companies. That is changing.

Unleash joins Cognite, the industrial DataOps company that reached unicorn status, and Whereby, the video conferencing tool that found a niche in developer experience, as Oslo-based companies that are redefining what Norwegian tech looks like. One Peak Partners' decision to lead the round signals that London's growth-stage investors view Oslo as a credible source of enterprise-grade software, not just a waypoint for climate tech and energy transition bets.

The tailwind behind Unleash is structural and accelerating. GitHub's own data shows that Copilot-assisted developers write code 55 percent faster. Anthropic, OpenAI, and Google are racing to build agents that can write, test, and deploy code autonomously. The volume of code entering production systems is about to explode.

More code means more features. More features mean more surface area for things to break. And when something breaks in a regulated industry, the cost is not a bad Hacker News thread. It is a compliance incident, a customer exodus, or a regulatory fine. Unleash is betting that every enterprise deploying AI-generated code will eventually need a governance layer that sits between the CI/CD pipeline and the end user.

The capital will fund product development, go-to-market expansion, and headcount growth. But the more interesting question is how Unleash converts its open-source community into paying enterprise customers at scale. The company has an active GitHub project with thousands of contributors and a Slack community that functions as both a support channel and a product feedback loop.

The playbook is well-understood but execution-dependent. Convert free users to paid accounts by offering features that matter at scale: audit logs, role-based access control, advanced targeting rules, and enterprise-grade uptime guarantees. If Unleash can push conversion rates above the three-to-five percent threshold that most open-source companies target, the $35 million could fund a path to profitability rather than just another round.

In a market where AI is writing an ever-larger share of the code, someone needs to build the controls. Unleash is making the case that feature flags are not a developer convenience but foundational infrastructure. If the DORA data is any guide, the market is about to agree.