Why Most AI Startups Fail at Productionization

Most AI startups fail at productionization, not because of weak models, but due to the significant challenges in moving from prototype to a production-grade system. This often stems from underestimating constraints like reliability, latency, and cost control, alongside a critical lack of robust data infrastructure to handle continuous data ingestion and validation.