Shuttle, an AI-based cloud infrastructure company, announced that it has raised $6 million in seed funding to accelerate its mission of making backend development and operations as simple as writing code with AI. The round includes participation from Y Combinator, Global Founders Capital, Thomas Dohmke (former CEO of GitHub), Calvin French-Owen (Founder of Segment), and senior leaders from OpenAI, Deel, and Confluent.
The new funding supports Shuttle’s goal of becoming the go-to AI-native cloud platform for developers who build using tools like Cursor and GitHub Copilot. As AI speeds up coding and application development, infrastructure setup and deployment have become major bottlenecks. Shuttle is tackling this challenge by creating an AI platform engineer—a system that automatically provisions, configures, and manages backend environments in minutes.
Shuttle’s vision is to make backends as composable and understandable as code, enabling developers to move seamlessly from idea to production. The platform aims to eliminate the complexity of managing queues, databases, networking, and security by integrating code and infrastructure into a single, AI-accessible layer. The company describes its approach as “Vercel for backends,” designed for rapid iteration and scalability.
The team initially focused on the Rust developer community, where performance and developer experience are key priorities. Shuttle has since become one of the leading platforms for deploying Rust-based backends, surpassing 130,000 deployments and gaining tens of thousands of users. According to Shuttle’s product-market fit surveys, 60% of developers reported they would be “very disappointed” if they could no longer use the platform—a strong indicator of customer loyalty and satisfaction.
The company plans to use the new capital to expand support beyond Rust, bringing its zero-configuration experience to developers in all major languages. Shuttle is also deepening integrations with AI development tools such as GitHub Copilot, Claude Code, and Cursor, enabling users to deploy applications directly from within their AI coding environments. Developers will be able to generate backend infrastructure specifications using plain-language prompts, eliminating the need for manual configuration tools such as YAML or Terraform.
In addition to simplifying infrastructure deployment, Shuttle will offer reusable backend patterns for APIs, queues, vector stores, and other components, as well as built-in cost analysis, access control, and architecture recommendations. Teams will also be able to spin up preview environments on demand. The company plans to launch a beta version of its new AI-native platform in the coming weeks, further advancing its mission to bridge the gap between code creation and cloud deployment.
KEY QUOTES:
“In the era of AI, developers are writing apps faster than ever with the help of coding agents like GitHub Copilot or Claude Code. Deploying and running these applications as fast as creating them is the next major frontier. And Shuttle is uniquely positioned to be a leader in this space and enable quick iteration cycles for every full-stack builder.”
Thomas Dohmke, Former Chief Executive Officer, GitHub
“Imagine a compact infrastructure-as-data spec that is entirely language-agnostic. With seamless integrations, you’ll be able to deploy applications from within Cursor or with the help of Claude Code or GitHub Copilot. No YAML, no Terraform, no CI glue. Use this to deploy to AWS, GCP, or your own cloud with opinionated defaults and guardrails. We will provide reusable backend patterns for APIs, jobs, queues, vector stores, and more. And if you’re building within a team, you will be able to spin up preview environments, and get granular access control, cost and architecture suggestions.”
Company Statement
