Entire's tech has three components. One is a git-compatible database to unify the AI-produced code. Git is a distributed version control system popular with enterprises and used by open source sites like GitHub and GitLab. Another component is what it calls "a universal semantic reasoning layer" intended to allow multiple AI agents to work together. The final piece is an AI-native user interface designed with agent-to-human collaboration in mind.
In the world of earnings reports and pitch decks, the ultimate goal of our current AI boom is usually called something like artificial general intelligence (AGI), superintelligence, or-if you're really nerdy- recursive self-improving AI. But in the real world, we're all just looking for the Enterprise computer: a digital assistant you can talk to that doesn't just fully understand you, but can do things for you instantly.