EngiWorld: What Can Frontier Agents Deliver in Professional Engineering Environments?
Autonomous agents have made rapid progress in general-purpose computer use, but reliable automation of professional industrial engineering remains out of reach, as engineering workflows demand reasoning over geometric and physical constraints and dependencies preserved across software and design stages. We present EngiWorld, the first benchmark structured around the complete de
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Autonomous agents have made rapid progress in general-purpose computer use, but reliable automation of professional industrial engineering remains out of reach, as engineering workflows demand reasoning over geometric and physical constraints and dependencies preserved across software and design stages. We present EngiWorld, the first benchmark structured around the complete de
This work introduces a comprehensive benchmark for evaluating AI agents in complex professional engineering environments, which is crucial for advancing autonomous agents beyond general-purpose tasks. For ML engineers, understanding how to design and evaluate agents for domain-specific, multi-software workflows will be key to unlocking AI's potential in industrial applications.