Why your infra is the silent bottleneck in your AI systems?

Getting high-quality responses from an LLM is rarely a model problem; it is almost always an infrastructure problem. Frontier models have the reasoning capabilities, but they are limited by the quality and accessibility of the context they are given. This is where Context Engineering —the intersection of RAG and Prompt Engineering—becomes the critical path. The challenge is that enterprise context is fragmented. It's spread across DBs, SaaS platforms, and on-prem systems, varying between structu