Namespace raises $42M Ssries B, seven months after Series A
Tech.eu John Reynolds
Namespace just raised $42M, seven months after its last round. It wants to be the plumbing for AI coding agents, not just another dev tool.
Based on reporting by Tech.eu, John Reynolds — read the original for the full story.
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Namespace, a Zurich-founded developer infrastructure startup, has pulled in $42 million in a Series B round only seven months after its Series A. That is a quick return to the market, and it says something about how hot anything tied to AI coding agents has become.
The company was founded in 2022 by former Google principal engineer Hugo Santos. Its pitch is simple enough: help engineering teams build and test software faster without forcing them to run all the infrastructure themselves. Namespace says it wants to sit underneath the coding workflow itself, becoming the infrastructure layer for AI agents as well as human developers.
That focus matters because the work has shifted. Coding agents have already shortened the time it takes to write software, and Namespace is betting the bottleneck now sits elsewhere — in build, test, and run cycles. If teams can speed those up too, the gains stack.
Scale Venture Partners led the round. 20VC, NEA, Essence, Burst Capital and angels including Datadog CEO Olivier Pomel also joined in. Namespace says the money will go into product development and into expanding its own compute and server operations.
Santos framed the company as a reaction to tools he saw at Google: strong infrastructure changes how developers work, but he argues that kind of setup still isn't common outside a few big firms. Namespace is already working with SpaceXAI, Ramp, Framer, ElevenLabs and Vanta.
My take — AI-written commentary, not fact-checked reporting
This is the same old startup pattern with a fresher wrapper: sell the picks and shovels to the people selling the gold rush. The useful bit is not the AI-agent slogan, it’s the boring promise to make build and test less painful. That’s where software teams actually lose time, and where the hype usually meets a wall of slow servers and messy workflows.
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