Sold by: Neural Concept
Deployed on AWS
Neural Concept empowers organizations to leverage Engineering Intelligence - embedding data and AI within the product design process - to revolutionize the way products are designed, developed, and optimized. By shifting engineering workflows from intuition-driven to data-driven, our platform accelerates time-to-market, optimizes cross-functional collaboration, and provides sustainable competitive advantages through improved decision-making and cost efficiency.
Overview
Neural Concept's platform is built to meet the complex demands of modern engineering workflows, providing engineers with the tools and flexibility needed to solve intricate design challenges at scale. Designed with Engineering Intelligence at its core, the platform enhances the daily operations of engineers through data-driven solutions. Neural Concept's platform is uniquely designed for data-literate, coding-capable engineers. It operates at the dataset level rather than focusing on single-design low-code automation. With robust and flexible Python APIs, it enables best practices in software tracking and reproducibility, surpassing traditional desktop GUIs. Its modular, cloud-native architecture ensures seamless large-scale 3D data manipulation and a highly interactive experience. Collaboration is embedded at its core, bridging on-premise and cloud solutions with tailored functionality for each.
Highlights
- Faster Development Cycles: Reduce development times by up to 75% with scalable, 3D AI-driven workflows that streamline collaboration across teams.
- Enhanced Engineering Team Productivity: Equip data-litterate CAE-engineers and data-scientises with advanced tools to create impactful AI-driven workflows, allowing them to focus on high-value tasks and amplify their impact by 10x.
- Optimized Design: Empower teams to achieve high-performance product outcome across cost, safety, weight, and energetic efficiency through data-driven insights and AI support.
Details
Sold by
Categories
Delivery method
Supported services
Delivery option
4.3.15
Latest version
Operating system
Linux
Deployed on AWS
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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
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Private Offer | Neural Concept is exclusively available through AWS Private Offers, ensuring tailored pricing and support for your unique engineering needs. Contact us at sales@neuralconcept.com to discuss custom pricing options. | $1.00 |
Dimensions summary
This listing has one pricing dimension, priced by Users. You buy access to the engineering platform through an AWS Private Offer, which means pricing is negotiated directly with the vendor rather than shown as a fixed rate. To set up your terms, you contact the vendor at the sales email provided. Pricing scales with the number of users you need. There are no separate tiers or usage add-ons to choose from on Marketplace. The platform can be delivered as SaaS or deployed in your private cloud.
Top-of-mind questions for buyers
A user is one named person who accesses the engineering platform. Since pricing scales with the number of users you need, you count each individual engineer or team member who will work with the AI copilots. The exact count is set when you negotiate your Private Offer with the vendor.
You can receive the platform as SaaS, hosted by the vendor, or deployed inside your own private cloud. Both delivery methods use the same per-user pricing structure. The choice affects where the software runs, not how users are counted. Discuss which option fits your setup with the vendor.
The platform supports multiple physics domains, such as aerodynamics, thermal, and structural work, plus connections to common CAD and simulation tools. These capabilities come with platform access rather than as separate paid add-ons on Marketplace. Confirm which integrations apply to your workflow when you set your Private Offer terms.
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Vendor terms and conditions
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Delivery details
4.3.15
Supported services: Learn more
- Amazon ECS
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Latest Image
Additional details
Usage instructions
Start the Workspace
-
First run only: To start container and setup required directories: ./start.sh ncx setup
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then start workspace ./start.sh
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A Jupyter notebook will launch, displaying a message similar to the example below
Important: Note the generated URL and token, as they are required to access the NC workspace http://$SERVERNAME:8888/lab?token=$TOKEN
Support
Vendor support
Please contact support@neuralconcept.com for technical support.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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