Enterprise AI is no longer experimental. Companies like Vodafone, CNH, and Oura are deploying AI agents at scale — for customer support, internal productivity, sales enablement, and more. Every day, millions of conversations happen between users and these AI agents.
Every new type of enterprise data has created a new category of infrastructure software. Relational data → databases. Customer interactions → CRM. Web behavior → web analytics. Product usage → product analytics. Each time, the companies that built the infrastructure to structure and activate that data became category standards. AI conversations are the next new data type — generated at massive scale, across every enterprise function, starting now. No infrastructure exists yet to turn this data into a structured, usable asset. That is the category we are building.
Nebuly is the infrastructure layer that changes that. We plug into the conversational data (audio + text) flowing between users and AI agents, build structured knowledge graphs from it, and surface the patterns that help leaders make decisions — on adoption, ROI, quality, and what to build next.
This is a new category being built right now, in a market that will touch every enterprise on the planet. We are early, growing fast, and looking for people who want to help define it.
If that sounds like the right problem to work on, we'd like to talk.