Today, we’re announcing Zeroset’s $5.2M pre-seed round to deploy world models into enterprises, co-led by @GradientVC and @2048vc, with participation from Leblon Capital and others. Frontier intelligence is capable of enormously complex tasks. And yet with an abundance of general capability and mandate, automation still requires enormous handwork. The models and systems that exist today lack an understanding of the world they act in. Robotics faced a similar problem. Building capable robots required more than compute-scaling on policies; they needed representations of their environments, encoding state and how it changed under actions. Over time, those representations shifted from hand-specified states toward learned models of the world. What is missing in the enterprise is a general system that represents work and learns from it. At Zeroset, we believe the same paradigm that enabled progress in robotics can be applied to represent enterprise “worlds.” We open with Nebula, a system that captures the state and traces created as people and agents work across systems, using them to model how an enterprise works and changes over time. These models contain the decisions, dependencies, and unwritten processes bespoke to a company. They are derived from the enterprise, and they should belong to the enterprise. Companies should be able to use the best models for their work and train them on their own operating knowledge freely. The underlying system does not need to change. Nebula is currently in closed research preview. If your team is automating complex work or exploring how to learn from the work your organization already does, please contact us. We are building the system through which that intelligence becomes increasingly specialized to the enterprise, allowing agents to act through it, and models to learn from it. If you’d like to join us in building this future, we’re hiring researchers and systems engineers. Read more here: businessinsider.com/zeroset-…