AWS Marketplace Listing Accelerator
Get your SaaS App on AWS Marketplace and unlock a powerful new sales channel with Metal Toad's Accelerator Services
Get your SaaS App on AWS Marketplace and unlock a powerful new sales channel with Metal Toad's Accelerator Services
Getting listed on the AWS Marketplace can be complex, with several challenges that vendors often face. The three biggest challenges are:
Navigating the Compliance and Security Requirements
Understanding and Implementing the Technical Integration
Navigating the Marketplace Policies and Procedures
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
The Metal Toad AWS Marketplace Listing accelerator solution is designed to streamline your journey to AWS Marketplace, helping you easily navigate the complexities of compliance, technical integration, and marketplace policies.
By leveraging Metal Toad's deep expertise and proven methodologies, you can significantly reduce the time and effort required to get your product listed. This allows you to start benefiting from AWS Marketplace's vast customer base and robust infrastructure faster, driving revenue growth and expanding your market reach while ensuring your product meets all necessary standards and requirements.
Metal Toad’s expert guidance accelerates the listing process, helping customers get their products on AWS Marketplace quickly. This reduces the typical delays and allows for earlier access to AWS’s vast customer base, driving quicker revenue generation.
With Metal Toad managing the intricacies of compliance, technical integration, and policy adherence, customers can avoid common pitfalls and minimize the risk of errors that could lead to listing rejections or technical issues. This ensures a smoother, hassle-free listing experience.
Metal Toad provides ongoing technical support and expertise throughout the listing process, ensuring that any challenges or issues that arise are swiftly addressed. This support extends beyond the initial listing, helping customers maintain compliance, manage updates, and integrate new features, ensuring long-term success on the AWS Marketplace.
AlertCalifornia, a state-wide alert system, faced a critical challenge in effectively detecting and monitoring wildfire smoke plumes through camera images. The existing AI system's initial attempt to identify smoke plumes from single images proved insufficient, as it struggled to meet the desired performance standards. The limitation was particularly evident in scenarios where understanding the movement and position of smoke plumes over time was crucial for accurate detection.
To address this challenge, AlertCalifornia opted for a sophisticated solution that leveraged advanced machine learning techniques. SageMaker, a fully managed service for building, training, and deploying machine learning models, played a crucial role in the training phase. The SageMaker service facilitated the seamless integration of the developed LSTM model into the production environment, offering a scalable and efficient platform for training and deploying machine learning models.
The implementation of the LSTM model has shown promising results during testing and validation phases. The model's ability to analyze sequences of smoke bounding box data has significantly improved the accuracy of wildfire smoke detection. AlertCalifornia is now eager to deploy this enhanced model into the production environment for further testing and validation under real-world conditions.
The sales team at ABC was feeling a lot like substitute teachers, bogged down with cumbersome old tech and processes at crucial moments.
A clear solution emerged: a single app that the sales team could use with any mobile device or computer
The new system revamped the entire sales process, making it faster, easier, and more efficient.
Whenever a big sweepstake was launched, avid fans would descend on the website and often overtax its servers.
Moving the site’s servers to the cloud provided the elasticity Wheel of Fortune needed.
When the team launches new sweepstakes, preventative scaling is used to double, triple, or even quadruple their capacity to match expected traffic.
DC Entertainment site is routinely crawled by third parties looking for security vulnerabilities or new leaks ahead of announcements.
ML Log evaluation. We started by setting up a data pipeline that replicated the manual process Metal Toad had been doing for years
Quickly identified new threats. The ML Log Monitoring solution quickly found two groups of IPs for evaluation.
Fox needed a transformation to streamline operations, maximize efficiency, and optimize coordination.
The new platform will replace legacy systems with a solution that unifies viewer experience and aligns operations across the enterprise.
Fox now has in hand the detailed plan they need to make Fox Mississippi a reality.
When approaching Metal Toad for a potential partnership, they made it clear that their current website was falling short.
Search results were stale, poorly ranked, and simply not delivering the content that users demanded.
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
For years, Logoipsum manually tracked marketing metrics using Excel, Google sheets, and complex macros
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