Bryel is an AI-focused research lab and tooling company building infrastructure for post-training evaluation and reliability of production AI agents. The company focuses on automating post-training evaluations, reinforcement learning harness engineering, and continuous reliability testing in production, with the goal of providing the kind of post-training, harness engineering, and continuous evaluation loop that frontier AI labs run internally for their own large-scale models. Its offerings are aimed at teams deploying and maintaining production AI agents, helping them systematically test, measure, and improve model behavior after initial training through automated pipelines and research-driven evaluation methodologies.