Major enterprises are rushing to deploy AI, but many are hitting a brick wall: their underlying data is a mess. AI is only as smart as the context it’s given, and without proper data lineage, ownership, and quality controls, enterprise AI initiatives are doomed to stay in the experimental phase. Enter Decube. Founded by Jatin Solanki, Decube is building the "context layer" for enterprise data—a platform that sits between raw data and AI models to ensure the data is trustworthy, explainable, and production-ready.

Fresh off a $3 million funding round led by Taiwania Hive Ventures (bringing their total funding to $5 million), Jatin joins us in the studio to discuss how they manage to integrate with massive legacy systems in just 40 minutes, why Decube is keeping its core engineering talent in Malaysia while expanding across APAC, and how a neutral startup survives when cloud giants like AWS and Google are looming in the background.