The Conversation Storage Problem Nobody Is Solving Yet

Every company that has deployed an LLM in the last two years is now sitting on an unusual asset: a vast and rapidly growing collection of conversations between humans and machines. Customer chats. Internal research queries. Code generation sessions. Debugging exchanges. Tests that nobody cleaned up. This data isn’t going anywhere. Most of it isn’t deleted, isn’t compressed, and isn’t curated - it just accumulates. A mid-sized company with a few thousand active users might generate millions of conversations a year. At enterprise scale, the numbers become staggering.