What is gNucleus?
The gNucleus platform leverages a proprietary family of multimodal generative engineering large models, enabling direct generation of parametric CAD parts and assemblies from inputs such as text, images, DXF files, and PDFs—compatible with formats including SolidWorks, Catia, FreeCAD, and STEP/STL. It can also execute multi-physics simulation workflows using mainstream CAE tools like Ansys and Altair. Its AI agents cover the entire lifecycle—from design specification generation and CAD modeling to simulation execution and result optimization—while offering professional data annotation and evaluation services tailored to CAD and simulation datasets, ensuring high-quality model training and validation. The platform supports LoRA and direct fine-tuning, and offers multi-cloud deployment across all major cloud providers, meeting enterprises’ stringent requirements for data security, compliance, and computational elasticity.
Key features
CAD Agent: Supports generating feature-driven, precisely parameterized CAD parts and assemblies from text, images, and DXF files, compatible with native formats like Catia and SolidWorks, as well as universal formats such as STEP and STL.
Simulation Agent: Automatically invokes mainstream CAE tools like Ansys and Altair to execute multi-physics simulation workflows—including structural, thermal, and fluid analyses—and provides expert-level improvement recommendations through the Optimization Agent.
Use cases and audience
Engineering teams in industries such as automotive, robotics, and consumer electronics that require AI-accelerated design and simulation workflows.
- Accelerate the design cycles of automotive powertrains, body panels, and chassis components, shortening time-to-market.
- Accelerate the development of robotic manipulators, actuators, and control mechanisms
- Generate high-fidelity, production-ready assemblies for IoT and wearable devices, achieving AI-optimized parameter accuracy
Text descriptions, images (PNG/JPG), DXF files, PDF documents, native CAD formats (Catia/SolidWorks/FreeCAD), and universal formats (STEP/STL).
Feature-driven, parametric CAD parts and assemblies (including automatic component placement and mating constraints), editable 2D sketches and 3D solid models, multi-physics simulation results, and expert-level optimization suggestions.
Frequently asked questions
Does the trial offer a free quota?
Yes, register to receive 150 free credits for CAD-AI generation; follow us on LinkedIn or Twitter to earn an additional 400+ credits.
Does it support private cloud deployment to ensure data security and compliance?
Yes, it supports deployment on customers’ private cloud infrastructures, ensuring data security and compliance while leveraging powerful AI capabilities.
How to use
- 01
Create feature-driven CAD parts and assemblies using text, images, or DXF files (supporting native formats such as Catia, SolidWorks, FreeCAD, as well as universal formats like STEP and STL)
- 02
Convert PDFs, DXFs, and PNG/JPG images into editable 2D sketches and 3D solid models for digitizing legacy drawings
- 03
Run multiphysics simulation workflows (compatible with mainstream CAE tools like Ansys, Altair, etc.)
- 04
Based on simulation results, AI interprets findings and provides expert-level optimization recommendations
Benefits and limitations
Benefits
- Increase CAD modeling speed by 10x
- Supports multiple CAD formats
- Models are editable
- Easy and enjoyable to use
- Convert text and images into CAD models
- Can generate assembly drawings from various inputs
Limitations
- May require specific prompts for optimal results (speculative)
- Depends on GenAI’s performance
Pricing and availability
The trial includes 150 free credits; there are no explicit details regarding subscription pricing, billing cycles, commercial usage restrictions, or word/character limits.
- Pricing source
- https://gnucleus.ai/
- Pricing last updated
- 2026-10-29
Prices and limits may change. Check the official website for current terms.
Official website & sources
Sources
Updated on 2026-10-30
