We’ve raised $35M in Series B to help enterprises ship AI-driven software faster, safer, and smarter

Today is one of those days that feels bigger than a funding announcement.

We’ve raised a $35 million Series B led by One Peak, with continued support from Spark Capital, Frontline Ventures, and Firstminute Capital.

But as co-founder and CEO of Unleash, this isn’t about capital; it’s about a responsibility we have to our customers, developers, and, at the risk of sounding too dramatic, the world. Let me explain.

Software is moving faster than ever and that’s part of the problem

We are living through a generational shift in how software is built. AI is accelerating development at a pace none of us has seen before. Ideas become prompts. Prompts become code. Code reaches production in hours instead of weeks.

That speed is exciting.  But, without governance, it can also be dangerous.

DORA research shows that as AI adoption rises, software stability declines.

And developers are still the ones who get called at 2am when something breaks (yes, even the SRE agent who is supposed to fix the problem). Engineering leaders are being asked to move faster than ever, while also being held accountable for reliability, compliance, and governance. Boards want AI velocity. Regulators want audit trails. Customers want perfection.

That tension is not theoretical. And it is exactly why Unleash exists.

From the beginning, our mission has been simple. Make life easier for developers while giving enterprises the governance they require. Not one or the other. Both.

What FeatureOps solves

DevOps transformed how code gets into production. But once that code is running, controlling what actually turns on, who sees it, and how quickly it can be reversed is a different problem. In 2025, both Google Cloud and Cloudflare suffered major global outages caused not by failed deployments but by routine changes released without adequate runtime controls or kill switches, exposing the gap between shipping code and safely controlling its behavior in production.  Rollbacks alone couldn’t solve the problem without hours of downtime and hundreds of millions in lost revenue across Google and Cloudflare customers as one recent estimate put the cost of high-impact outages at $2 million/hour.

That is the problem FeatureOps solves.

FeatureOps gives organizations real-time authority over application behavior in production. Frontend and backend releases happen progressively. Every change is treated as reversible. Every rollout is guided by real production signals, autonomously or with a human in the loop. In an AI-driven world, that safety net is no longer optional.

Built in the open, trusted in production

What makes this moment especially meaningful is that we built this foundation in the open.

Unleash is the world’s largest open-source FeatureOps platform, with over 13,000 GitHub stars and over 35 million downloads.

Our community shaped the product long before we raised venture capital. Enterprises adopted Unleash for its transparency, extensibility, and trustworthiness. This community-driven and tested architecture, based on the inputs of thousands, is one of the reasons that during the last major AWS outage that took down most of the internet, Unleash did not go down at all.

Open source is not a distribution strategy for us. It is a belief system.

In a world where AI is writing more of the code, transparency matters more. In regulated industries, auditability matters more. In global enterprises, data residency and control matter more. The open-source foundation ensures that the control layer itself is visible, inspectable, and extensible.

From belief to traction

Over the past few years, we have seen that belief validated.

Since our Series A, we have doubled annual recurring revenue for three consecutive years and crossed 500 paying customers. Enterprises like Lloyds Banking Group, Prudential, Wayfair, and Lenovo use Unleash as their system of record for feature control in highly regulated environments

This Series B allows us to lean into that reality. We will accelerate investment in autonomous end-to-end feature lifecycle management and full-stack experimentation. We will continue building the control layer that bridges AI speed with human responsibility. We will expand globally to support enterprises navigating this shift.

To our community, thank you for building this with us.

To our customers, thank you for trusting us with what runs in your production environments.

And to our team, thank you for staying focused on the mission, even as the industry around us accelerates.

This funding gives us fuel. Our mission gives us direction. We are just getting started.