- Version 1.0.4
- Sold by AveriSource
AveriSource Scan is the starting point of the application modernization journey.
AveriSource is a leading independent software vendor for modernizing complex applications, including those with multiple programming languages and intricate dependencies, at every stage of the modernization process. With over 25 years of experience globally across multiple industries, AveriSource enables organizations to inventory, discover, analyze, and transform their existing applications using its proprietary data-driven, AI-enabled methodology.
AveriSource Scan is the starting point of the application modernization journey.
$9,300.00/mo + $0.00 to $0.00/hr for software + AWS usage fees
Accelerate your application rewrite to AWS with GenAI (Generative AI) and the AveriSource Platform™. The AveriSource Platform accelerates the modernization journey through AI-powered application analysis, business rules extraction and legacy code transformation solutions for mainframe and midrange platforms. Enabling multiple modernization patterns and use cases, AveriSource reduces the time, risk, and cost constraints of IT transformation to the cloud all within one solution. Supporting over 70 different tech stacks, AveriSource combines the power of Artificial Intelligence (AI) and automation with its vast legacy knowledgebase to accelerate modernization planning and assessments, business requirements documentation, and code transformation of COBOL and RPG to Java or C#. The default package for the AveriSource Platform on the AWS Marketplace is AveriSource Discover with up to 250,000 lines of code (LOC). If a different package or LOC limit is needed, contact sales@averisource.com.
The AveriSource Rapid Assessment enables acceleration of mainframe or midrange application assessments, providing analysis features for building modernization roadmaps, regardless of the chosen modernization pattern or target platform. The AveriSource Platform supports multiple modernization patterns, such as reengineering (for deploying Java, for instance, to the cloud, or even back to mainframe or midrange systems), replacing with packages, retaining and optimizing applications in-place on mainframe or midrange platforms, replicating data for hybrid and edge systems, and retiring or decommissioning legacy applications post-modernization.
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