Tessell sells the convenience of managed databases while the customer keeps the data in its own cloud account. That small architectural choice has become a large argument about control, cost, and who gets to hold the keys.
A request from Schneider Electric became a 12-petabyte data platform. Now Odaseva is trying to turn the least glamorous layer of Salesforce - backup - into the control plane for resilience, compliance and AI.
Informatica spent three decades cleaning up the mess behind corporate software. Salesforce walked away once, came back at $25 a share, and paid roughly $8 billion for the layer that keeps AI agents from confidently acting on bad data.

Kon Leong is the CEO and co-founder of ZL Technologies, a Milpitas-based enterprise software company he built from the ground up in 1999 to tackle the problem nobody else wanted to solve: the mountain of unstructured human data - emails, documents, messages - that sits at the center of every corporate compliance, legal, and AI challenge. A serial entrepreneur who migrated from China to India to Canada to the US, Leong brought a rare mix of deep IT engineering, Wall Street M&A finance, and startup grit to a market that was just waking up to its own data problem. Today, ZL Technologies serves Fortune 500 companies and government agencies across financial services, healthcare, and the public sector, with a platform that manages data in-place at speeds up to 1,000 times faster than conventional approaches.