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HomeNews & Current EventsAveriSource Unveils AI-Powered Platform 2.0 for Accelerated Application Modernization

AveriSource Unveils AI-Powered Platform 2.0 for Accelerated Application Modernization

TLDR: AveriSource has announced the general availability of its AI-Powered Modernization solutions, specifically AveriSource Platform 2.0. This new release aims to revolutionize application modernization for mainframe and midrange systems by leveraging artificial intelligence for analysis, business rules extraction, and code transformation, significantly reducing time, risk, and cost for enterprises.

Dallas, TX – AveriSource, a global leader in AI-powered, data-driven application modernization, has officially announced the general availability of its AveriSource Platform 2.0. This significant release marks a pivotal advancement in the company’s strategic growth and innovative product roadmap, designed to streamline and accelerate the complex process of modernizing legacy applications for enterprises worldwide.

The AveriSource Platform 2.0 is engineered to provide an end-to-end application modernization journey for both mainframe and midrange systems. It integrates application intelligence, comprehensive business rules extraction, and advanced AI-powered transformation capabilities. The solution aims to eliminate the inherent time, risk, and cost typically associated with large-scale modernization projects, offering a unified platform for IT transformation.

David Gutzman, CEO and Managing Partner at AveriSource, expressed his enthusiasm for the launch, stating, “I’m pleased to announce the general availability of AveriSource Platform 2.0. This is a game-changing solution that enables our customers and partners to accelerate their modernization strategies while leveraging the very latest in application analysis and intelligence alongside AI-powered code transformation. Our ongoing investment and product roadmap, fueled by customer success, will continue to streamline the modernization journey, harness the power of AI and deliver faster time to value for our customers.”

The new platform introduces a redesigned user experience, featuring visually engaging and highly interactive dashboards, coupled with in-depth reporting and analytics. This intelligent and guided interface supports users through all phases of the application modernization journey, from initial assessment to code transformation. Key packages within the 2.0 release include AveriSource Scan, AveriSource Inventory, AveriSource Discover, and AveriSource Analyze, providing a modular approach to cater to diverse organizational needs.

AveriSource’s technology is built on three decades of legacy application analysis, boasting a sophisticated knowledge base that has processed over two billion lines of code. This extensive experience has enabled the company to facilitate more than 250 successful modernization projects for global Fortune 500 companies. The platform’s AI capabilities are instrumental in generating application models and auto-generating new code in target languages, significantly reducing technical debt and fast-tracking modernization efforts.

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This launch follows a substantial investment in AveriSource’s go-to-market and sales capabilities, marked by the recruitment of industry veterans Ed Airey as VP of Marketing and Emmett Hynous as VP of Global Sales. The company’s commitment to innovation is further demonstrated by its availability on the AWS Marketplace, making its solutions accessible to a broader enterprise customer base. As AI, automation, and the evolving landscape of IT talent continue to shape enterprise strategies, AveriSource is positioned to be a crucial partner in modernizing mission-critical applications, whether on-premises or in the cloud.

Dev Sundaram
Dev Sundaramhttps://blogs.edgentiq.com
Dev Sundaram is an investigative tech journalist with a nose for exclusives and leaks. With stints in cybersecurity and enterprise AI reporting, Dev thrives on breaking big stories—product launches, funding rounds, regulatory shifts—and giving them context. He believes journalism should push the AI industry toward transparency and accountability, especially as Generative AI becomes mainstream. You can reach him out at: [email protected]

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