Sold by: InfoBay AI Ltd.
Deployed on AWS
Sample repository from a large-scale 3D CAD design corpus containing SolidWorks (SLDPRT), STEP, and GLB models for engineering design, CAD automation, digital twins, manufacturing, robotics, and AI applications.
Overview
3D CAD Design Dataset for Engineering AI & Digital Twin
Overview
This dataset is a large-scale collection of 3D CAD models designed to support engineering AI, CAD automation, digital twins, computer-aided design (CAD), robotics, manufacturing, simulation, and product development applications.
The collection contains engineering-grade 3D models in industry-standard formats including SolidWorks (SLDPRT), STEP, and GLB, enabling compatibility with modern CAD software, engineering workflows, and AI-driven design systems.
The dataset represents real-world mechanical components, assemblies, industrial products, engineering parts, and manufacturing designs suitable for research, AI model development, engineering automation, and digital engineering workflows.
Dataset Coverage
The collection includes:
- 3D CAD Models
- Mechanical Components
- Engineering Parts
- Product Design Models
- Industrial Components
- Assembly Models
- Manufacturing Designs
- Parametric CAD Models
- SolidWorks Files
- STEP Models
- GLB Models
Supported File Formats
- SolidWorks (SLDPRT)
- STEP
- GLB
These widely adopted industry formats allow seamless integration into engineering software, CAD systems, digital twin platforms, simulation environments, and AI development pipelines.
Key Features
- Engineering-grade CAD models
- Industry-standard CAD formats
- Mechanical design assets
- Parametric engineering models
- Manufacturing-ready geometries
- Product development resources
- Large-scale engineering corpus
- AI-ready structured CAD data
Applications
This dataset supports:
- Engineering AI
- CAD Automation
- Digital Twin Development
- Product Design
- Mechanical Engineering
- Manufacturing Intelligence
- Robotics
- 3D Shape Understanding
- Computer Vision
- Geometric Deep Learning
- Design Optimization
- Simulation & Analysis
- Additive Manufacturing
AI Development Use Cases
Organizations can leverage this dataset to develop AI systems capable of understanding engineering geometry, automating CAD workflows, generating design recommendations, analyzing mechanical structures, and building next-generation engineering copilots.
The collection is suitable for training AI models focused on geometric reasoning, CAD model understanding, design retrieval, manufacturing intelligence, and engineering knowledge extraction.
Licensing & Access
This listing contains sample data intended for research, evaluation, and educational purposes. Enterprise licensing and access to the complete CAD model collection are available upon request.
InfoBay AI
Email: datareq@infobay.ai
Phone: +91 9236398619
Highlights
- Large-scale collection of 3D CAD models in SolidWorks (SLDPRT), STEP, and GLB formats representing real-world engineering and mechanical designs.
- Supports CAD automation, engineering design analysis, digital twins, product development, robotics, additive manufacturing, and simulation workflows.
- Designed for Engineering AI, CAD intelligence, geometric learning, 3D computer vision, design automation, and foundation model training.
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
This listing uses a single pricing dimension: Product Access (Units). You subscribe to gain access to the product, and the listing is offered at no cost. There are no tiers, instance sizes, or usage add-ons to compare. One flat access option covers your subscription. Because only one dimension exists, pricing does not scale by volume, usage, or capacity within the Marketplace listing itself.
Top-of-mind questions for buyers
It grants access to the product at no cost. You subscribe through Marketplace and gain entry to the listed 3D CAD model data for AI training, engineering, and digital twin work. There is one access option, with no capacity, seat, or usage metering tied to the unit.
The seller structures its corpus by language, domain, and category. Licenses can be scoped to combinations like a single language plus one domain. Minimum license volumes apply. For scoping beyond the Marketplace access dimension, contact the vendor to discuss specific requirements.
The seller offers sample packs for certain data types, including 10% samples for textbooks and coding. Audio samples cover specific language and industry combinations. Healthcare samples require an NDA with institutional review. Request samples through the vendor's audit form.
infobay.ai
Helpful?
Vendor refund policy
No Refunds
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
3D CAD Design Dataset for Engineering AI & Digital Twin | All historical revisions | All future revisions | Not included | Not included |
Similar products
Experience the real-time insight factory of the future with digital twins. Built on AWS, this state-of-the-art solution lets you visualize factory data in real time, enabling superior decision-making, increased efficiency, and enhanced innovation across manufacturing operations. By creating a digital replica of your operations, it simplifies the complex process of managing myriad data points and assets, allowing you to gain a competitive edge in the market.
At the heart of digital twins are various elements including big data, data science, AI/ML, IoT, blockchain, robotics, simulations, extended reality, AR/VR/MR, and GDPR. Our proficiency in each of these fields ensures a fast and effective deployment.
In terms of technology, our technical proficiency extends to the design and deployment of digital twins, utilizing tools such as:
· AWS IoT TwinMaker
· XMPro on AWS
· NVIDIA Omniverse on AWS
Matterport is leading the digital transformation of the built world. Our spatial data platform turns buildings into data to make every space more valuable and accessible. Millions of buildings have been transformed into immersive digital twins to improve every part of the building lifecycle.
Redefining the performance economics of agentic AI. M3.1 Flash achieves frontier-level intelligence across key tasks such as Cowork (Automation-Bench: 62%; ALE: 30%), Coding (DeepSWE: 74%) and Visual Reasoning (BabyVision: 91%), at 1/3 the cost of previous M3 and 3x the speed.
OneData Software helps organizations build digital twins using AWS IoT TwinMaker and IoT SiteWise by modeling physical assets, collecting and synchronizing real-time telemetry, and visualizing operational states. They enable the creation of virtual replicas of equipment or environments, integrating sensor data, metadata, and analytics to simulate behavior, monitor performance, and predict maintenance needs. This provides stakeholders with powerful insight into both current and future states of physical systems.