EngiWorld: What Can Frontier Agents Deliver in Professional Engineering Environments?
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Abstract (arXiv)
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 design loop: 1,301 expert-curated tasks spanning 6 engineering domains (CAD, CAE, CAM, BIM, EDA, and 3D visualization) and 26 professional software platforms, with both GUI and CLI interfaces and 6 task types ranging from software-selection to open-ended tasks. We further introduce an artifact-centric evaluation methodology built on a unified domain-verifier suite, which programmatically checks the geometric validity, physical feasibility, and rule compliance of final and intermediate artifacts, and scores quantitative design tasks continuously by specification attainment rather than binary success. Evaluation of seven frontier models reveals a substantial capability gap: the strongest model achieves an EngiScore of only 44.3, and just 3.6% of multi-software attempts succeed. EngiWorld provides the first rigorous foundation for measuring progress toward agents that operate professional engineering software end to end.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 27 of its 39 references that are in the map. First posted on arXiv 29 Sep 2026.
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27 of 39 references.
References · 27
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- 2023RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Modelcited by 143
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- 2025VideoCAD: A Dataset and Model for Learning Long-Horizon 3D CAD UI Interactions from Videocited by 9
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- 2026BIM-Edit: Benchmarking Large Language Models for IFC-Based Building Information Modelingcited by 1
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