Klavis AI

Klavis AI provides live, realistic environments designed for training and evaluating AI agents. It addresses critical challenges in AI development by offering managed sandboxes that simulate real-world interactions across various applications and services. This platform allows developers to move beyond synthetic benchmarks to train agents on complex, long-horizon tasks that involve browser sessions, computer actions, code repositories, SaaS tools, and Model Context Protocol (MCP) servers. The platform is built for frontier AI labs and developers who need to streamline the process of setting up test data, initializing states, and managing cleanup. It offers features like instant state initialization, state export for verification, one-click reset and teardown, and isolated, parallel runs. By providing full environment fidelity and seeded state data, Klavis AI enables the development of agents capable of handling multi-step task progression and verifiable outcomes in ultra-realistic settings.