Unleash Raises $35M Series B to Fuel AI-Powered FeatureOps Growth

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Unleash Secures $35M Series B to Address AI-Driven Software Stability Challenges

OSLO, Norway – March 4, 2026 – Unleash, the open-source FeatureOps platform, today announced the completion of a $35 million Series B funding round led by One Peak, with participation from existing investors Spark Capital, Frontline Ventures, and Firstminute Capital. The funding will be used to accelerate product innovation and global expansion as enterprises navigate the complexities of AI-accelerated software delivery.

The Rise of FeatureOps in the Age of AI

The rapid integration of Artificial Intelligence (AI) into software development is creating both unprecedented opportunities and significant challenges. While AI can dramatically accelerate the development process – enabling organizations to turn ideas into applications faster than ever before – it also introduces risks to software stability and control. Research from DORA indicates that a 25% increase in AI adoption correlates with a 7% decrease in software stability. This paradox is driving the emergence of FeatureOps as a critical operational layer.

What is FeatureOps?

FeatureOps provides real-time control over software features, allowing enterprises to manage what functionality is activated, who has access to it, and how quickly changes can be rolled back. This is particularly crucial in an environment where AI-generated code moves at a pace that traditional governance systems struggle to keep up with. As Egil Østhus, CEO and co-founder of Unleash, stated, “When AI-generated code is in production, and something breaks, every minute of downtime costs you revenue and customers. You need the ability to diagnose, fix, and recover immediately.”

Addressing the Tension Between Speed and Stability

Engineering teams are facing increasing pressure to deliver software faster while maintaining reliability, compliance, and governance. Boards are demanding AI velocity, regulators require audit trails, and customers expect seamless experiences. Unleash aims to bridge this gap by providing a platform that enables both speed and control.

Key Features and Benefits of Unleash

  • Open-Source Foundation: Built on a robust open-source core with over 13,000 stars on GitHub and 40 million downloads.
  • Real-time Control: Provides granular control over feature releases, allowing for targeted rollouts and instant rollbacks.
  • Enterprise-Grade Scalability: Designed to support the operational complexity of large organizations.
  • AI-Safe Delivery: Offers a resilient release infrastructure to mitigate the risks associated with AI-accelerated development.

Customer Traction and Growth

Unleash has achieved significant traction with a growing customer base, including prominent organizations such as Lloyds Bank, Prudential, Wayfair, and Lenovo. The company has doubled its annual recurring revenue over the past three years and achieved a net revenue retention rate of 140%. They have also surpassed 500 paying customers and process billions of daily feature flag evaluations.

Industry Validation

Kiriti Dhanai, Site Reliability Engineer at Wayfair, highlighted the importance of FeatureOps in managing the risks associated with rapid AI-driven development: “At Wayfair, the speed of code delivery has exploded… But here’s the paradox: Speed increases, but reliability decreases. AI accelerates risk because it’s almost impossible for QA teams to keep up. That’s where FeatureOps comes in.”

Investment Details and Future Outlook

The $35 million Series B round brings Unleash’s total funding to $51.5 million. One Peak Partner, Christoph Mayer, commented, “AI is changing the way software is developed and the speed at which it is done. The companies that prevail will be the ones that can leverage this speed. Unleash provides the governance layer that enables companies to innovate faster while maintaining governance and reliability. This combination is incredibly powerful.” Unleash plans to use the new funding to accelerate investments in autonomous feature management and experimentation across the software stack.

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