AveriSource Platform Launches on AWS Marketplace, Streamlining AI-Powered Modernization

AveriSource, a hybrid modernization company powered by artificial intelligence, has officially launched its AveriSource Platform™ in the newly introduced AI Agents and Tools category within AWS Marketplace. This development enables customers to discover, purchase, and deploy AI-driven agent solutions, including the AveriSource Platform, directly through their AWS accounts. The result is a more efficient path toward developing AI agent workflows while maintaining control over procurement and deployment.

Bringing together more than 30 years of modernization expertise with cutting-edge AI, the AveriSource Platform offers a comprehensive toolset to support mainframe and midrange system modernization. Its design leverages both deterministic and generative AI, along with robust automation features and a deep legacy knowledge base, enabling enterprises to manage every aspect of their modernization journey with precision and speed.

According to Brandon Edenfield, President of AveriSource, this collaboration with AWS Marketplace simplifies access to their hybrid modernization technology, allowing businesses to implement AI agent capabilities with greater ease and speed. Companies are already taking advantage of the platform’s powerful functions, using it to mine critical insights from outdated codebases and convert them into actionable business requirements that form the foundation for modernization initiatives.

The platform provides key functionalities that include detailed analysis of legacy applications, extraction of business rules, and transformation of outdated code. These capabilities are engineered to fast-track modernization projects hosted on AWS without requiring reliance on proprietary runtimes or third-party libraries. As a result, organizations can modernize without concerns about platform limitations or vendor lock-in.

With the AveriSource Platform now available as an AMI solution, users benefit from LangChain-powered orchestration that ensures fault-tolerant and self-correcting communication between a chatbot interface and internal data systems. This allows seamless interaction with structured code repositories, analysis outputs, and expert input. Business rules, data flows, and critical modernization components are automatically uncovered and preserved—all while integrating smoothly with AWS-native services and environments.