Potpie AI raised $2.2 million to build structured context layers that allow AI agents to operate effectively across enterprise-scale codebases exceeding 40 million lines of code.

The infrastructure gap isn’t computational power—it’s organizational memory. While large language models excel at code generation, they struggle to maintain context across complex, interconnected systems where critical knowledge lives in senior engineers’ heads and context spans dozens of tools and millions of lines of legacy code.