
Karsun Named Product Challenger in ISG Report, ReDuX Drives Results
Karsun named Product Challenger in ISG report, validating ReDuX as an AI-powered platform helping enterprises modernize legacy mainframe systems.

Karsun named Product Challenger in ISG report, validating ReDuX as an AI-powered platform helping enterprises modernize legacy mainframe systems.

Karsun Solutions announced today it has received AWS Mainframe Modernization Competency status. This work is powered by ReDuX®, an agentic AI platform that automates time intensive mainframe modernization work including system and behavioral analysis, requirements extraction, code refactoring, pipeline automation and end-to-end testing.

Vaishnavi M February 18, 2026 From Monolith to Microservices: Migrate Faster with AI As teams return from AWS re:Invent, the

The outcome of modernization efforts depends not only on tools alone, but also on how well organizations understand the decisions and intent embedded in their existing systems. Learn why in these insights from the CES AI House.

Amanda Mahoney January 27, 2026 Case Study: Breaking Through with Traceable Mainframe Modernization For state governments, modernizing legacy mainframes is

Technical debt remains a critical challenge, not just for systems housed in on-premises data centers, but also for older applications already residing in the cloud. The ReDuX AI-powered modernization platform provides the necessary tools to address pervasive debt.

The journey from mainframe and other legacy systems to a cloud-native architecture can be daunting. Reimagine modernization to accelerate discovery, optimize migration, and reimagine the complete user experience.

The ReDuX AI-Powered Modernization Platform addresses refactoring challenges through using its Blueprint process, code parsing, and code refactoring AI agents.

From the Karsun Solutions team, the ReDuX AI-powered modernization platform empowers teams to identify threats early and address their presence as part of the modernization process rather than risking cascading issues after deployment.
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