About Us

We are a software company that builds reinforcement learning environments for leading AI labs. Our environments simulate real-world computer-based work—things like building a feature, deploying an application, debugging an issue, or reviewing and reconciling financial or legal documents.

Models are dropped into these environments and given concrete objectives. Every action across the browser, terminal, and desktop is captured and structured into training-ready trajectories.

Performance is evaluated based on task completion, correctness, and efficiency. These evaluations become reward signals during training, allowing models to learn how to reliably complete real-world work end-to-end.