What is gNucleus AI?
gNucleus is an end‑to‑end engineering AI platform that integrates data labeling, proprietary model training, and private cloud deployment for CAD and simulation workflows. It provides professional labeling services for CAD and simulation datasets, enabling teams to train and validate AI models on engineering data.
The platform includes a family of multimodal generative engineering models with scalable parameter sizes and fine‑tuning capabilities, such as direct fine‑tuning and LoRA fine‑tuning. AI agents automate stages from specification generation and CAD part or assembly creation (from text, image, or DXF) to executing multi‑physics simulations in Ansys or Altair and interpreting results for optimization.
gNucleus supports multi‑cloud serving across major cloud providers and can be deployed on private clouds for data security. It converts PDFs, DXFs, and images into editable 2D sketches or 3D models in formats like SolidWorks, Catia, FreeCAD, STEP, and STL.
gNucleus AI pricing Freemium
Verify on the official pricing page.
View plansgNucleus AI user reviews
Would you recommend gNucleus AI?
gNucleus AI's key features
-
End-to-end engineering AI platform
-
CAD and simulation data labeling service
-
Scalable multimodal generative AI models
-
Proprietary model training and serving
-
AI agents for CAD, simulation, optimization
-
Private cloud and multi-cloud deployment
-
Image-to-CAD conversion from PDFs and DXF
gNucleus AI use cases
-
Automate CAD labeling and train a defect‑detection model for manufacturing quality control, then deploy it to a private cloud for real‑time inspection of production parts.
-
Generate CAD models from textual design briefs, run multi‑physics simulations and optimization within the platform, accelerating concept prototyping and performance evaluation.
-
Fine‑tune a multimodal generative model using LoRA to produce custom component designs, loop in simulation results for iterative improvement, and deploy the updated model across public or private clouds for engineering teams.
Who is it for?
-
Design engineers
-
Product designers
-
Cad designers
-
Manufacturing engineers
-
Mechanical engineers
