Namespace Raises US$42 Million Series B for AI Coding
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Namespace Raises $42 Million Series B for AI Coding

Zurich-founded developer infrastructure startup to accelerate product development and expand compute

10/5/2026
•Ali Abounasr El Alaoui
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Namespace, a Zurich-founded developer infrastructure startup, has secured US$42 million in a Series B funding round just seven months after completing its Series A. The company was founded in 2022 by former Google principal engineer Hugo Santos. Namespace aims to become the infrastructure layer for AI coding agents, enabling developers and autonomous tools to build, test, and run code faster.


Series B Funding and Investors

The Series B round was led by Scale Venture Partners, with participation from 20VC, NEA, Essence, Burst Capital, and angel investors including Datadog CEO Olivier Pomel. The financing arrives only seven months after Namespace completed its Series A, highlighting rapid investor confidence. It positions the Zurich-founded startup among the emerging players in developer infrastructure for AI agents.

Use of Funds

Namespace plans to use the new capital to accelerate product development and expand its own compute and server operations. The company is investing in infrastructure that can support the complex and growing workloads generated by AI coding agents. This expansion is intended to help customers build, test, and run code with greater speed, reliability, and control across their development pipelines.

Founder Vision

Santos said he started Namespace because developers deserve better tools, and he believes the current industry standard is not sufficient for modern software teams. At Google, he saw how strong infrastructure changed developer workflows, but that experience remains absent outside a small group of companies. His goal is to make that elevated developer experience the default for every fast-moving company, starting with coding and continuous integration.

Product Focus

Namespace is building the infrastructure layer for AI coding agents, allowing developers and autonomous tools to build, test, and run code faster. Its work begins where developers and their agents spend the entire day: coding and continuous integration. By targeting this foundation, the company aims to remove bottlenecks that slow modern software delivery.

Customer Adoption

Namespace already works with organizations including SpaceXAI, Ramp, Framer, ElevenLabs, and Vanta. This customer base spans fast-growing technology companies, AI-focused teams, and engineering organizations that depend on efficient development workflows. Their adoption signals demand for dedicated infrastructure that supports both human developers and autonomous coding agents across live production environments.

Market Context

The funding round comes at a time when coding agents have already sped up the time required to write software. As more companies integrate AI into their engineering processes, the need for underlying infrastructure that can keep pace with these tools is growing. Namespace's focus positions it at the center of this shift in how software teams operate.

Growth Trajectory

The quick Series B after Series A signals strong investor confidence, sustained demand, and meaningful market traction for the platform. Namespace's expansion of compute and server operations will support larger workloads, more complex builds, and growing enterprise customers. The company is positioned to benefit as AI-assisted coding becomes standard in engineering organizations.

Strategic Outlook

Namespace intends to continue scaling its platform while maintaining a sharp focus on the core developer experience. The company's approach combines infrastructure depth with practical support for coding agents and continuous integration. Over time, that strategy could make Namespace an essential layer for fast-moving software teams around the world and across industries.


The US$42 million investment underscores the growing importance of infrastructure purpose-built for AI coding agents. Namespace is moving quickly to scale its platform, broaden customer adoption, and strengthen its operational foundation. As the company expands across industries, its success will help define how development teams integrate AI agents into everyday software delivery.