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HIDENN-AI

AI engineering simulation and surrogate modeling software

Raised to date

$1.5M

of $1.5M offered across 1 Form D filing

Still open
$1
Investors
4
Last filed
Apr 17, 2026

About

HIDENN-AI builds engineering simulation software based on hierarchical deep-learning neural networks (HiDeNN), technology licensed exclusively from Northwestern University. Its platform combines an LLM multi-agent assistant, automated pre-processing, a high-fidelity solver, and data-driven and data-free surrogate modeling for structural, thermal, and advanced manufacturing problems. The company says it runs paid pilots with aerospace and semiconductor companies and is partly funded by a U.S. Navy STTR Phase II award.

A universal element approach that the company says avoids iterative mesh refinement, plus surrogate models built directly from governing physics equations without generating training data.

Funding

  • EquityFiled Apr 17, 2026Form D
    $1.5M/ $1.5M

Product

HIDENN-AI simulation platform

Computer-aided engineering software

Engineering simulation software that guides users from problem setup to result interpretation and builds predictive surrogate models for physical systems.

  • LLM multi-agent assistant for setup and result interpretation
  • Automated pre-processing and high-fidelity solving without iterative mesh refinement
  • Data-driven surrogate models the company says train 10x faster than baseline deep neural networks

Built for

Engineering teams at aerospace and semiconductor companies

People on file