Your team isn't slow. Your data is just fragmented.
Every new feature—from personalization and fraud prevention to AI search—adds another cache, vector store, or pipeline and more lines of glue code.
Teams end up maintaining infrastructure instead of innovating and shipping products.
It’s not a tooling problem. It's a data architecture problem.
