Announcing our investment in Namespace

We’re excited to announce that Scale has led Namespace’s $42M Series B. Namespace is the development platform for the agentic software engineering era. Our thesis is simple: existing tools cannot keep up. AI has invalidated the assumptions that underpinned the design of the current stack, and Namespace has built the infrastructure to support the new world.

Developers have always edited code, created builds, and run tests. Under that model, their laptop held a carefully accumulated working environment with the checked-out repository, dependencies, caches and credentials. CI then provided a validation mechanism which ultimately turned code into working software.

Coding agents change this process in three fundamental ways:

1. Agents increase the volume and concurrency that development platforms must support. The pressure is already visible, with GitHub attributing major outages to capacity constraints as activity on its platform has grown. From day 1, Namespace has been designed to serve both engineering teams and fleets of coding agents.

2. Agents scale up and down. Multiple agents working in parallel each need an isolated workspace, initialized with the right code and toolchain, with controlled access to sensitive repositories and credentials. These environments must start quickly and preserve useful state between iterations. Those are the requirements that Namespace devboxes were designed to meet.

3. Agents make build and test performance a direct constraint on engineering velocity. An agent often needs an execution result before it can decide what to do next, so every slow build or test delays the next iteration. As execution becomes more frequent, the cost of each run matters more too. Namespace addresses both through fast GitHub Actions runners, persistent caching, and remote build execution for Bazel.

Namespace took the hard path of operating its own infrastructure, selecting processors, NVMe storage, and networking for the demands of building and testing software. Controlling the stack lets it optimize both execution and data placement, scheduling work close to the dependencies and build artifacts it can reuse. That foundation extends to Apple Silicon, providing native macOS environments for building and testing Apple software.

Building a development platform (literally) from the ground up is not easy, but Hugo Santos had done just that during his tenure as a principal engineer at Google. He’s supported by an amazing team who share his passion for scalable systems and developer experience. But don’t take it from us: the ultimate proof is in Namespace’s customer base, which includes organizations like SpaceXAI and Ramp, just to name a few of the frontier AI teams building on the product.

The last months have shown that making iteration faster and more economical is essential for agents to prosper, and we’re extremely excited to partner with the team that is unlocking the new software development lifecycle.