A fintech wanted to sell its merchants a live view of their own transactions. The dashboard looked like a product until traffic arrived; e6data's wager is that the expensive part of analytics is often the engine, not the data.
The enterprise-data startup bet that companies would rather query their lakes than keep copying them into warehouses. A decade, roughly $407 million in funding and one SAP acquisition later, that argument has become the center of the AI stack.