Holo3: Breaking the Computer Use Frontier

Holo3, developed by HCompany, represents a significant advancement in the realm of autonomous enterprise technology, achieving a leading score of 78.85% on the OSWorld-Verified benchmark for desktop computer use. Built with an agentic flywheel, Holo3 is designed to execute real-world workflows within synthetic enterprise environments, and it excels in both performance and cost-efficiency by using only 10 billion active parameters. The model is trained through a specialized pipeline that enhances perception and decision-making capabilities, utilizing synthetic navigation data, out-of-domain augmentation, and curated reinforcement learning. The training process is validated through the Synthetic Environment Factory, which replicates enterprise systems to produce verifiable tasks for the model to tackle. Holo3's performance surpasses that of larger models, demonstrating the effectiveness of its unique training approach. While Holo3 currently masters interfaces, the future focus is on achieving Adaptive Agency, where models autonomously learn to navigate new enterprise software in real-time, pushing the boundaries of the Autonomous Enterprise concept.