We discovered that 50% of AI inference costs are going down the drain. It might sound crazy, but it's true. Six months ago we set out on a mission to solve a single problem: “Why are LLMs so damn expensive?” We expected the answer to be obvious - bigger models, more users, more tokens. Instead, what we found was surprisingly mundane. Companies waste enormous amounts of money simply because every request is treated the same. So we built Phantm. Phantm is an API gateway that sits in front of your existing AI stack and dynamically optimizes every request. In our testing on real workloads, it consistently reduced inference costs by over 50% without sacrificing output quality. Every company with ambition will eventually build on AI. As that happens, AI won't just need models - it will need infrastructure: routing, observability, budgeting, analytics, governance, security, evaluation. It will need Phantm. The same way cloud computing evolved from "just servers" into an entire ecosystem, AI infrastructure will evolve into an entire operating layer. That's what we're building. Today, that starts with optimization. Tomorrow, it becomes the platform that helps enterprises use AI efficiently, safely, and intelligently at scale. We're incredibly grateful to @edwardlando, @JBoustou and @CKraycik from the @ParetoHoldings team, and everyone else who believed in us early. If your company is building with LLMs and your AI bill keeps growing, we'd love to talk.