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2026 Deng IndustryForge Industrial CAD

Nianchen Deng, Jiaxin Ai

2026enCADmultimodalfoundation modelsindustrial applicationsmachine learning

Abstract

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Automating industrial CAD design and manufacturing places distinctive demands on multimodal foundation models: the model must see engineering drawings and 3D geometry screenshots, write correct parametric-modelling scripts and Windows COM API code, and cover the full range from single parts to assemblies. General-purpose multimodal models fall short on these tasks, while single-task fine-tuning is too narrow to support the diverse calls that upper-layer agents issue. We build IndustryForge-27B on top of Qwen-5. VL-27B by curating and integrating six industrial CAD sub-corpora totaling 52k multimodal samples—CAD Visual QA (CAD-VQA), parametric CAD code (text2cadquery), assembly-level CAD code (text2cadquery-assembly), and three COM sub-corpora for Inventor / SolidWorks (com-2/com_3d/com_assembly)—and lift with a unified multi-task SFT recipe. Across four CAD-domain benchmark IndustryForge-27B lifts the base model by +33.65 pp on average and outperforms the strong closed-source model gpt-5.4 on all four; across eleven general-capability benchmarks it retains, and slightly improves upon, the base model (+1.56 pp mean, no catastrophic forgetting). IndustryForge-27B will serve as the common substrate for downstream industrial-agent projects, providing a unified starting point for a full-stack industrial agent that spans from CAD design to industrial-software operation, from parts to assemblies, and from single-shot generation to closed-loop self-improvement.

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Cite This Work

@article{b9ce28e6-5f4f-4d0d-857c-9baa8112ba2e,
  title={2026 Deng IndustryForge Industrial CAD},
  author={Nianchen Deng and Jiaxin Ai},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - 2026 Deng IndustryForge Industrial CAD
AU  - Nianchen Deng
AU  - Jiaxin Ai
PY  - 2026
LA  - en
ER  -

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