Klavis AI

Klavis AI is a specialized development platform designed to provide live, realistic sandbox environments for training and evaluating autonomous AI agents. Built to support frontier AI labs and software developers, the platform addresses the challenges of testing complex, long-horizon agentic workflows by offering managed environments with built-in authentication, seeded state data, and isolated parallel runs. Instead of relying on static benchmarks or toy workflows, developers can train agents on multi-step tasks that span browser sessions, computer actions, code repositories, and SaaS tools using Model Context Protocol environments. Klavis AI streamlines the training loop by offering instant state initialization, one-click resets, and state exports for verifiable outcomes. This infrastructure allows teams to move away from slow, manual cleanup and sequential, blocking runs, enabling more efficient reinforcement learning and agent evaluation at scale. By bridging the gap between simulated benchmarks and unpredictable real-world environments, Klavis AI provides the robust infrastructure necessary for building reliable, production-ready AI agents.