Sold by: Edge Impulse, a Qualcomm CompanyÂ
Deployed on AWS
Edge Impulse Enterprise Solution Bundle, 12 month Subscription, 5 User, 20 Projects, Standard Support
Overview
Edge Impulse is ushering in the future of embedded machine learning by empowering developers to create and optimize solutions with real-world data. We are making the process of building, deploying, and scaling embedded ML applications easier and faster than ever, unlocking massive value across every industry, with millions of developers making billions of devices smarter.
This package includes: Edge Impulse Enterprise Solution Bundle, 12 month Subscription, 5 User, 20 Projects, Standard Support
Highlights
- Rapidly build custom datasets
- Confidently develop and test models & algorithms
- Easily deploy on any edge target
Details
Delivery method
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
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 |
|---|---|---|
Edge Impulse Enterprise Solution Bundle | 12 month Subscription, 5 User, 20 Projects, Standard Support | $102,499.00 |
Vendor refund policy
No refunds are offered, accounting@edgeimpulse.comÂ
Custom pricing options
Request a private offer to receive a custom quote.
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)Â .
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
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
Email support at support@edgeimpulse.com .
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.
Similar products
VMware SD-WAN by VeloCloud Virtual Edge
By VeloCloud Networks, Inc.
VMware SD-WAN by VeloCloud Virtual Edge to extend SD-WAN to customer's cloud infrastructure
NetFoundry Edge Router
By NetFoundry
Implement secure private connectivity with NetFoundry Edge Routers pre-integrated with AWS. With NetFoundry you can create seamless edge-to-cloud connectivity for any workload or edge use case. Delivered as Network-as-a-Service (NaaS) and with cloud-native orchestration and automation.
Zscaler Private Access Service Edge
By Zscaler, Inc.
The ZPA Private Service Edges are brokers that are a single-tenant instance that provide the functionality of a ZPA Public Service Edge in an organization's environment. Your organization hosts them either within your site or on a cloud service, but Zscaler manages them. On the other hand, ZPA Public Service Edges are deployed in Zscaler data centers around the world.
As with a ZPA Public Service Edge, a ZPA Private Service Edge manages the connections between Zscaler Client Connector and App Connectors. It registers with the ZPA Cloud. This allows a ZPA Private Service Edge to download the relevant policies and configurations so it can enforce all ZPA policies. It also caches path selection decisions.
ZPA Private Service Edges can be deployed in several forms. Zscaler distributes images for deployment in enterprise data centers and local private cloud environments such as VMware.
Cribl Edge
By Cribl
Cribl Edge provides the flexibility and control administrators love from Cribl Stream now running at the edge. Combined with automatic log discovery and metrics production Cribl Edge is designed to support todays modern distributed microservice architectures. Cribl Edge is centrally managed configured, and version controlled for easy expansion and low cost of ownership. Cribl Edge allows IT SRE DevOps, and SecOps teams to avoid vendor lock in by allowing you to send your EKS cluster data to any observability destination.
Customer reviews
0 ratings
0 AWS reviews
|
11 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Jon V.
A User Friendly and Powerful Machine Learning Solution
Reviewed on Aug 31, 2023
Review provided by G2
What do you like best about the product?
I enjoys how easy it is to import and scale data. Overall Edge Impulse is a platform. It could be simplified for everyday users and offer more options for diverse applications of knowledge.
What do you dislike about the product?
Whenever you retrain the model there are changes in the calculated accuracy results. This makes it difficult to rely on Edge Impulses classification accuracy consistently.
What problems is the product solving and how is that benefiting you?
Their platform simplifies machine learning model training and deployment onto our devices significantly enhancing accuracy and performance in our systems. As a result our business benefits, from informed decision making. An improved overall user experience.
Alex G.
Empowering Edge AI Innovation: A Comprehensive Edge Impulse Review
Reviewed on Aug 21, 2023
Review provided by G2
What do you like best about the product?
The platform provides a range of data augmentation and preprocessing tools that help enhance the quality of your training data. These features can be particularly beneficial when dealing with limited datasets, as they contribute to better model performance and generalization.
What do you dislike about the product?
Although Edge Impulse provides a wealth of documentation and resources, some users might find it helpful to have offline documentation available for situations when they're working in environments with limited internet access.
What problems is the product solving and how is that benefiting you?
Developing edge AI applications involves iteration and experimentation. Edge Impulse accelerates prototyping by offering a seamless workflow, allowing developers to quickly build, train, and test models on real-world data.
Georgian C.
Using Edge as a fairly new user
Reviewed on Aug 21, 2023
Review provided by G2
What do you like best about the product?
The platform offers various deployment options, including exporting models to different formats that are optimized for specific edge devices. This flexibility ensures that your models can be efficiently utilized across your target hardware.
What do you dislike about the product?
The platform might feel somewhat limited in terms of building very complex or specialized models. Users with advanced machine learning needs might desire more extensive customization options or support for more advanced model architectures.
What problems is the product solving and how is that benefiting you?
Edge Impulse streamlines the complex process of developing machine learning models for edge devices. It provides an integrated platform that covers data collection, preprocessing, model training, deployment, and monitoring. This simplification saves developers significant time and effort compared to manually piecing together different tools and frameworks.
Alexandru-Georgian C.
Using Edge daily
Reviewed on Aug 19, 2023
Review provided by G2
What do you like best about the product?
appreciate Edge Impulse for its user-friendly interface, machine learning capabilities tailored for edge devices, and its support for developing and deploying AI models for various applications
What do you dislike about the product?
There are some limitations in terms of certain advanced customization options, compatibility with specific hardware, or the learning curve for those who are new to machine learning and IoT technologies.
What problems is the product solving and how is that benefiting you?
Data Collection and Labeling: Edge Impulse simplifies the process of collecting and labeling sensor data, which is crucial for training accurate models. This benefits me by saving time and effort in manually managing and preparing my data.
Gianfranco S.
Edge Impulse for air quality alerting
Reviewed on Feb 16, 2023
Review provided by G2
What do you like best about the product?
The look and feel and the ease of use. I like the simple and logical way the workflow is organised.
What do you dislike about the product?
Minimal data import and data scaling abilities. One big problem I had was the time scaling, which is restricted to milliseconds - this is not helpful when importing data from many time series databases
What problems is the product solving and how is that benefiting you?
AI has great potential for improving the accuracy of air quality sensor measurement data. One use case would be auto-calibration of low cost sensors who high accuracy sensors