Surfer 2: The Next Generation of Cross-Platform Computer Use Agents
Authors: name: Mathieu Andreux, name: Märt Bakler, name: Yanael Barbier, name: Hamza Benchekroun, name: Emilien Biré, name: Antoine Bonnet, name: Riaz Bordie, name: Nathan Bout, name: Matthias Brunel, name: Aleix Cambray, name: Pierre-Louis Cedoz, name: Antoine Chassang, name: Gautier Cloix, name: Ethan Connelly, name: Alexandra Constantinou, name: Ramzi De Coster, name: Hubert de la Jonquiere, name: Aurélien Delfosse, name: Maxime Delpit, name: Alexis Deprez, name: Augustin Derupti, name: Mathieu Diaz, name: Shannon D'Souza, name: Julie Dujardin, name: Abai Edmund, name: Michael Eickenberg, name: Armand Fatalot, name: Wissem Felissi, name: Isaac Herring, name: Xavier Koegler, name: Erwan Le Jumeau de Kergaradec, name: Aurélien Lac, name: Maxime Langevin, name: Corentin Lauverjat, name: Antonio Loison, name: Avshalom Manevich, name: Axel Moyal, name: Axel Nguyen Kerbel, name: Marinela Parovic, name: Julien Revelle, name: Guillaume Richard, name: Mats Richter, name: Ronan Riochet, name: María Santos, name: Romain Savidan, name: Laurent Sifre, name: Maxime Theillard, name: Marc Thibault, name: Ivan Valentini, name: Tony Wu, name: Laura Yie, name: Kai Yuan, name: Jevgenij Zubovskij
Organization: H company

Building agents that generalize across web, desktop, and mobile environments
remains an open challenge, as prior systems rely on environment-specific
interfaces that limit cross-platform deployment. We introduce Surfer 2, a
unified architecture operating purely from visual observations that achieves
state-of-the-art performance across all three environments. Surfer 2 integrates
hierarchical context management, decoupled planning and execution, and
self-verification with adaptive recovery, enabling reliable operation over long
task horizons. Our system achieves 97.1% accuracy on WebVoyager, 69.6% on
WebArena, 60.1% on OSWorld, and 87.1% on AndroidWorld, outperforming all prior
systems without task-specific fine-tuning. With multiple attempts, Surfer 2
exceeds human performance on all benchmarks. These results demonstrate that
systematic orchestration amplifies foundation model capabilities and enables
general-purpose computer control through visual interaction alone, while
calling for a next-generation vision language model to achieve Pareto-optimal
cost-efficiency.