Why Most AI Startups Fail at Productionization

Most AI startups do not fail because of weak models; they fail because they cannot successfully move from prototype to production. Building a demo with a large language model or a machine learning pipeline is relatively straightforward today, but productionization introduces a completely different set of constraints including reliability, latency, cost control, and system integration. The gap between a proof of concept and a production-grade system is often underestimated, leading to architectur