AI Startup FluidCloud Launches Large Infrastructure Model for Multicloud Networking

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AI startup FluidCloud has launched a Large Infrastructure Model (LIM), a purpose-built AI engine designed to generate, translate, and validate Terraform code across multicloud environments. The company says migrating entire workloads from one cloud to another is a complex challenge, with each provider using its own resource dialects and manual rewrites often stretching for months. FluidCloud's LIM aims to streamline this process and enable faster, safer cloud migrations.

Why it matters

Multicloud adoption is on the rise, but moving infrastructure between providers remains a significant technical hurdle. FluidCloud's LIM tool could help address this gap by automating the translation of Terraform code, a key step in cloud migration projects that often requires extensive manual work.

The details

FluidCloud, a startup based in Pleasanton, California, emerged from stealth in July 2025 with $8.1 million in seed funding. The company is now launching its Large Infrastructure Model (LIM), which it describes as a purpose-built AI engine for generating, translating, and validating Terraform across multicloud environments. FluidCloud argues that simply scanning a cloud environment and generating Infrastructure-as-Code (IaC) is not the same as being able to move that infrastructure to another provider, as each cloud has its own resource dialects. The LIM tool aims to streamline this translation process and enable faster, safer cloud migrations.

• FluidCloud emerged from stealth in July 2025 with $8.1 million in seed funding.
• FluidCloud is now launching its Large Infrastructure Model (LIM) tool.