Render lands $100M to simplify cloud deployment for AI apps
Render, a developer-focused cloud platform positioning itself as a simpler alternative to hyperscalers for AI-native teams, has raised $100 million in an extension of its Series C round. The financing values the company at $1.5 billion and brings total funding to $258 million.
The round was led by Georgian, with participation from existing backers including Addition, Bessemer Venture Partners, General Catalyst, and 01 Advisors.
Bridging fast coding and slow deployment
As AI-assisted coding accelerates how quickly teams can ship features, many companies are finding that deploying and operating applications at scale remains a bottleneck. Traditional platforms such as AWS can require complex configuration and lengthy setup timelines—even for experienced engineering teams—creating a widening gap between development speed and operational reality.
Render says the new capital will be used to expand support for AI use cases and to build a unified runtime for AI applications, combining compute, storage, orchestration, and monitoring in a single platform.
New products: Workflows, storage, sandboxes, and an AI gateway
To push deeper into AI infrastructure, Render has launched Render Workflows in early access, described as a durable execution and compute engine for orchestrating 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.
Emily Walsh, lead investor at Georgian, said the firm views Render as “the essential infrastructure layer” for the next generation of AI-native applications.
Scale and adoption
Founded by Anurag Goel, Render highlights support for WebSockets, containerised workloads, and long-running backend processes—capabilities it argues are critical for real-time AI applications and agents. The company reports more than 4.5 million developers on its platform and over 250,000 new users joining each month, with customers including Base44, Cognition, Luminai, Paradigm, and Fundamental Research Labs.
Related
