We are pleased to announce that Georgian has led Render’s $100M Series C-1 round, with participation from existing investors Addition, Bessemer Venture Partners, General Catalyst and 01 Advisors.
Render is a cloud application platform that simplifies the deployment and hosting of software applications. Instead of having to manage the complex infrastructure provided by the hyperscalers (AWS, GCP, Azure), developers can use Render to build, deploy and scale applications with ease. By using Render, developers can launch and manage apps directly from their code repositories (e.g., GitHub) in just a few lines of code, while Render manages critical backend infrastructure such as databases, caching, SSL, autoscaling and monitoring. The removal of cloud complexity allows companies and development teams to focus on their core differentiators, making their products better and shipping new features, rather than spending time and money managing complex backend infrastructure.
The Series C-1 round represents a high-conviction "double down" for Georgian following our initial Series C investment and is driven by Render’s continued acceleration as the platform for developing and scaling AI applications.
Why Render?
Our decision to double down on our conviction with Render is based on four key pillars:
- Revenue Growth and Developer Momentum: Render has grown over 100% YoY since Georgian’s initial investment. This growth has been driven by strong user adoption with more than 250,000 new developers joining every month, bringing the total number of developers on the platform to 4.5 million in 2026 (more than 2x developer growth from when we first invested in 2025). We believe this velocity is driven by tailwinds from AI-enabled development, new agentic applications and the migration of developers from legacy platforms including Heroku, looking for a better way to build.
- Expanding TAM driven by AI-Coding and AI agent building: It has become easier and faster for software developers and less technical users to code and create applications using AI, thereby increasing the number of applications that need to be hosted. However, backend hosting and ongoing management of applications remains complex and error-prone.
- Not just MVPs: Companies that start building on Render at inception are staying with Render as they scale to serve hundreds of thousands or even millions of end users. We believe Render’s investments into reliability, scalability and extensive services are proving out in strong customer retention and expansion over time. Companies like Base44, which scaled on Render to millions in ARR with a solo founder, credit Render with enabling faster product releases, providing not only a reliable backend but competitive differentiation in the market.
- Strong product vision can further position Render to become an AI infrastructure leader: We believe in the Render team’s capabilities and product vision. In our view, upcoming launches including Render Workflows, Object Storage, and AI Agent Sandboxes (with shared filesystems, an AI gateway, and an SDK) combined with Render’s existing reputation for reliability, position the company to be a leader in AI infrastructure.
Market Opportunity: Enabling the AI Developer
Since our initial investment (announced in January 2025) we believe the market opportunity for Render has increased. In our opinion this expansion is due to two factors: growth in the total addressable market due to AI coding, and an increase in developers looking for a platform that reduces complexity.
- Growth in TAM: Agentic coding tools such as Cursor and Claude Code have increased software delivery throughput and development velocity. Vibe coding platforms such as Replit (a Georgian portfolio company) and Base44 have made building applications accessible for a new class of non-technical developer. As a result, the amount of code produced is rapidly increasing and it all needs to run somewhere. Cloud application platforms like Render are positioned to benefit from the proliferation of new applications.
- Developer preference for speed and simplicity: Despite the fact that AI is helping make it easier to create software applications, hosting apps on hyperscalers like AWS can take days to weeks to set up and ongoing management remains complex and error-prone. We believe this even holds true for companies with large teams of specialized platform engineers.
In our view, the above two dynamics combine to create an environment where Render can thrive. Render enables increasingly fast‑moving developers and developer‑adjacent teams to focus on product velocity using AI tools by offering a mature, developer‑friendly suite of cloud services for fast, flexible, and scalable deployment of full‑stack applications.
Moving forward, we also believe Render is well suited to capitalize on the challenges that come with building agentic applications, which include:
- Long runtimes: We expect agents to increase their runtime and operate across multiple models, tools and systems. In our view, for this to work well, it requires durable workflows, secure execution environments, and intelligent AI routing rather than simple request‑response infrastructure.
- Stitching together multiple disparate systems with complex logic: Today, shipping agentic software often means stitching together half a dozen systems: a workflow engine to keep long‑running tasks alive; a queue or cron system to wake the agent; multiple LLM APIs behind custom routing and fallback logic; a vector store and database for memory; a sandboxed runtime to safely execute tools; secrets management for credentials; and bespoke logging just to understand the agent’s decision and logic.
- Lack of unified system from traditional platforms: These components were not designed together in traditional infrastructure platforms. Without careful management, teams risk building a fragile orchestration layer just to make an agent run.
We believe that, importantly, Render can offer many of the critical AI infrastructure primitives in a single, integrated platform with the necessary tooling and observability, allowing developers to bring AI functionality and agents to market faster and more cost‑effectively. Unlike serverless, frontend‑focused platforms, Render supports WebSockets, containerized workloads, and effectively infinite run times for backend applications, all components we believe are important requirements for low latency LLM‑based applications and AI agents that may need to run for hours or days.
Render also provides durable workflow execution and task scheduling, long-term storage for storing agent memories, sandbox execution, observability, secrets management among others. For example, with Render Workflows, developers are now able to add durable execution to their agents without the need to setup and manage a third-party system. Render’s single, integrated platform may allow developers to bring AI functionality and agents to market faster and more cost effectively.
Render plans to use this capital to further accelerate product development and expand support for AI applications and agents through new launches that provide a centralized platform for the critical components required to build agentic software. We believe this will help usher in the expected proliferation of agentic applications. By 2035, Gartner predicts agentic AI will account for nearly $450 billion in enterprise software revenue, or roughly 30% of the market up from just 2% in 2025.
We look forward to continuing our partnership with Anurag Goel and the entire Render team as they simplify the cloud for the next 4.5 million developers.