Render has raised $100 million in a Series C extension at a $1.5 billion valuation, bringing its total funding to $258 million as it doubles down on building infrastructure for AI-native software companies.
The extension round was led by Georgian, which also led the company’s original Series C. Existing investors including Addition, Bessemer Venture Partners, General Catalyst, and 01 Advisors also participated.
Based in San Francisco, Render positions itself as a leading cloud platform for application developers. The company reports that more than 4.5 million developers are now on its platform, with over 250,000 joining each month, making it one of the fastest-growing cloud providers globally. The fresh capital will be used to expand support for AI use cases and to build what the company describes as a unified AI application runtime, offering developers the full set of cloud primitives needed to bring AI applications and agents into production on a single platform.
Render’s growth is tied to the rise of AI-assisted coding, which has significantly accelerated software creation. While developers can now build applications faster than ever, deploying them on traditional hyperscalers such as Amazon Web Services can remain complex and time-consuming. Render is positioning itself as a simpler, more intuitive alternative for teams seeking fast, flexible, and scalable full-stack deployment.
The shift is especially pronounced among AI-native companies. Thousands of AI-focused firms, including Base44, Cognition, Luminai, Paradigm, and Fundamental Research Labs, are building on Render. The company’s architecture supports WebSockets, containerized workloads, and long-running backend processes, features that are critical for real-time large language model applications and AI agents that may need to operate for extended periods.
Unlike frontend-focused serverless platforms, Render emphasizes support for stateful and distributed architectures. The company says this makes it particularly well-suited for AI-native software, where reliability, durable execution, and observability are essential.
As part of its AI push, Render has launched Render Workflows in early access, a durable execution and compute engine designed to orchestrate complex AI application logic. The company also plans to roll out object storage, code execution sandboxes, shared filesystems, and a consolidated AI gateway in the coming months. Together, these features are designed to provide AI-native teams with integrated tooling and observability to accelerate development and reduce operational overhead.
Render, which won the 2019 TechCrunch Startup Battlefield, says its broader platform already includes a global CDN, DDoS protection, preview environments, private networking, and auto deploys from Git. With the latest funding, the company aims to further define the infrastructure layer for AI-native and agentic systems.
KEY QUOTES
“We are going through a generational shift in how developers pick cloud providers. Hyperscalers are no longer the default for teams that want to move fast. AI-assisted coding means developers can build faster than ever, and they need a cloud that can keep up. That’s what Render delivers.”
Anurag Goel, Founder and CEO of Render
“We’ve been able to deliver AI features much faster with a very lean engineering team, and Render’s flexibility and reliability have scaled to meet our rapidly evolving needs. After using their platform over the last year, I’m convinced Render is the future of the cloud. Their latest round gave me a chance to invest in their trajectory, and the opportunity was too good to pass up.”
Maor Shlomo, Founder of Base44
“We believe Render is becoming the essential infrastructure layer for the next generation of AI-native applications. Generative AI has made it faster than ever to write code, but turning AI-first and agentic systems into reliable, production-ready software remains a major challenge. Render provides the reliability, scalability, and operational primitives developers need to build and operate these systems at the speed of AI. We’re excited to deepen our partnership with Anurag and the team as they continue to define this category.”
Emily Walsh, Lead Investor at Georgian
