Coder Technologies has raised $90 million in a Series C funding round led by funds managed by KKR, with participation from Qube Research & Technologies, Uncork Capital, and other existing investors, as the company looks to expand its enterprise AI development platform and global footprint.
Founded in 2017 and based in Austin, Coder provides a cloud-based platform that allows enterprises to build and run standardized software development environments. Its infrastructure enables both human developers and AI coding tools to operate within governed, secure workspaces, replacing fragmented local setups with centralized systems designed for compliance, scalability, and consistency.
The new funding will support continued platform innovation, particularly around enterprise AI workflows and governance capabilities, while also helping the company scale across Europe, Asia, and North America. The investment reflects growing demand for infrastructure that allows organizations to safely integrate AI into software development processes.
Coder’s platform is designed to simplify the adoption of AI-driven development by automating the provisioning of tools, large language models, and development environments. This eliminates the need for developers to manually configure systems, instead embedding these processes into infrastructure and policy frameworks managed by enterprises.
The company is seeing strong traction among large organizations adopting AI-assisted coding. At KKR, Coder has been deployed to more than 500 engineers, helping transition from no AI-assisted code to more than half of commits being generated within Coder-managed environments. The firm now plans to expand usage beyond engineering teams to analysts, data scientists, and other functions.
Similarly, Qube Research & Technologies has rolled out Coder to roughly half of its workforce, using the platform to support AI-driven workflows while maintaining strict governance and compliance standards across global operations.
Coder’s growth has accelerated alongside enterprise adoption of AI tools. The company reported 300% year-over-year bookings growth over the past four quarters, along with strong quarterly momentum and a net dollar retention rate of 184%, driven largely by expansion within existing customers as organizations standardize development environments and scale AI usage.
As enterprises increasingly rely on AI coding agents, platforms like Coder are positioning themselves as foundational infrastructure, enabling organizations to balance speed, experimentation, and innovation with the control and security required for enterprise-scale deployment.
KEY QUOTES
“We chose to partner with customers KKR and QRT in this round because they have the clearest view of how AI evolves software development. They’re using Coder to bring consistency and security for every enterprise user to leverage the latest technologies like Claude Code, Cursor, and OpenClaw. Together, we are rearchitecting the foundation for how enterprise software is built.”
Rob Whiteley, CEO of Coder Technologies
“Software development is undergoing a fundamental shift, driven by the move to the cloud and the rapid adoption of AI, with more than 80% of enterprise developers today using or planning to use coding agents in their daily workflows. As enterprises scale the use of AI in development, they need infrastructure that allows that work to happen in a secure, standardized, and repeatable way. We believe Coder is well positioned to serve as the foundational platform for this next generation of software development.”
Ben Pederson, Managing Director at KKR
“Coder has fundamentally changed how we approach software development at KKR, particularly as we integrate AI into our workflows. By standardizing development environments and embedding governance directly into the process, we’ve been able to scale the use of AI tools in a secure and controlled way. This has improved consistency across teams, accelerated onboarding, and increased developer productivity and software velocity. We’re now extending these capabilities beyond engineering to analysts, data scientists, and other users.”
Ruchir Swarup, Chief Information Officer at KKR
“Deploying agentic AI at our scale requires infrastructure that doesn’t compromise on governance. Coder gives us the ability to audit every LLM request, control access across our global infrastructure, and maintain strict compliance while dramatically compressing deployment timelines.”
Zohar Melamed, Head of Developer Experience at Qube Research & Technologies
