Sold by: LandingAI
Deployed on AWS
Build and deploy Visual AI solutions quickly and easily. LandingLens ensures optimal data quality and consistency, making sophisticated Visual AI accessible even with limited datasets for various applications across all industries.
Overview
LandingLens is a cloud-based Visual AI platform developed by LandingAI. LandingLens empowers users to create and train Visual AI models even if you don't have a background in AI, machine learning, or computer vision. LandingLens guides you through the process of uploading images, labeling them, training models, comparing model performance, and deploying models.
To users who are familiar with machine learning, LandingLens offers advanced tools to customize the model training process. LandingLens supports advanced deployment options including cloud deployment as well as Docker and LandingEdge, LandingAI's edge-deployment solution.
LandingLens runs entirely on AWS. LandingLens integrates Visual AI capabilities into AWS Solutions, enabling enterprises to extract actionable insights from untapped image and video data. This no-code platform accelerates development and deployment of Visual AI models within AWS environments, where customers can train, fine-tune their models and run inference all using AWS services and significantly reducing time-to-value. LandingLens empowers businesses to monetize visual data assets across various use cases, from manufacturing quality control to retail inventory management.
As an end-to-end platform, the following can all be completed from within the LandingLens application:
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Data Management - Take full control of your data for model training by using user-friendly labeling tools, Label Books, agreement-based labeling, and data snapshots.
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Model Training - Train models with the click of a button. LandingLens automatically fine-tunes training settings for optimized model performance.
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Deployment Management - Deploy on cloud or edge devices using Cloud API, LandingEdge, and Docker. Efficiently manage all deployments from a centralized location.
Highlights
- Accelerate time to value - LandingLens is an end-to-end Visual AI solution that shortens the MLOps cycle and leads businesses to enable faster time to value.
- Optimize business processes with improved model accuracy - With LandingLens' data-centric approach, users can achieve better model performance even with less data.
- Democratize AI implementation - LandingLens helps enable collaboration and scalability by empowering your entire team, no matter their level of data science expertise. LandingLens is easy to use and requires less maintenance and overhead from engineers.
Details
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Features and programs
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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 |
|---|---|---|
Enterprise Offering | Custom Enterprise Offering | $10,000,000.00 |
Dimensions summary
This listing offers one pricing option: a Custom Enterprise Offering. You do not pick from preset tiers or fixed quantities. Instead, pricing is tailored to your needs. It covers custom infrastructure choices, including SaaS, VPC, and on-premises deployments. It can include custom processing pipelines, service-level agreements with uptime guarantees, and priority rate limits. Because the terms are built around your requirements, you request a quote and agree to a contract with the vendor. The final price, credit allotment, and deployment setup depend on that negotiated agreement rather than a published per-unit rate.
Top-of-mind questions for buyers
A credit is a usage unit spent each time you process a document. Tasks like parsing or field extraction consume credits based on the number of pages in each document. Under the Enterprise Offering, your monthly credit allotment is set through your negotiated agreement rather than a fixed published amount.
You can choose SaaS, VPC, or on-premises deployment. The offering supports custom processing pipelines and priority rate limits. It includes service-level agreements with uptime guarantees. Specific inclusions depend on the terms you negotiate through a quote request with the vendor.
This offering uses tailored pricing rather than a published per-unit rate. You request a quote and agree to a contract with the vendor. The final price, credit allotment, and deployment setup are all defined in that negotiated agreement, not by a standard rate card.
landing.ai
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Vendor refund policy
All subscription fees are non-refundable. See LandingAI Enterprise Terms of Service for further details.
Legal
Vendor terms and conditions
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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
Contact Customer Success by emailing support@landing.ai for assistance with LandingAI solutions. Get detailed how-to information from our documentation at support.landing.ai.
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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