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CloudFrame

CloudFrame automates the transformation of COBOL applications into maintainable Java using probabilistic and deterministic methods, ensuring 100% retention of original functionality. This solution addresses the challenges of legacy code maintenance and cloud deployment by providing a low-risk, cost-effective pathway to modernize mainframe applications for cloud environments.

East New York, United StatesFounded 2015392K+ followers
Updated 20 months ago

Funding

$11M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

EI
Funding rounds are not available yet.

Founders

Product

Problem

Organizations face challenges in maintaining and modernizing legacy COBOL applications, which are often complex, poorly documented, and costly to support. Traditional modernization approaches can be risky, time-consuming, and may not fully preserve the original functionality of the applications.

Solution

CloudFrame's CodeNavigator automates the transformation of COBOL applications into maintainable Java code, ensuring 100% retention of the original functionality. By employing probabilistic and deterministic methods, the solution provides a low-risk and cost-effective pathway to modernize mainframe applications for cloud environments. CodeNavigator helps organizations optimize, transform, and deploy their COBOL applications to public, private, or virtual private clouds. The platform facilitates the extraction, documentation, and optimization of COBOL code, enabling businesses to assess, plan, and improve their mainframe's performance and costs.

Target Audience

The primary target audience includes organizations that rely on mainframe applications written in COBOL and seek to modernize these applications for cloud deployment while minimizing risk and cost.

Features

  • Automated documentation and visualization of COBOL programs through mainframe artifact upload
  • Pattern and context recognition to ensure converted applications retain 100% of original functionality
  • Transformation of COBOL into clean, maintainable Java code, avoiding "JOBOL"
  • Packaging modules for specific architectures and creating deployment plans for individual applications, batch jobs, or entire portfolios
  • Deployment to various target environments, including AWS, Azure, GCP, and private clouds
  • Integration and packaging for security, monitoring, printing, and logging standards
This profile is AI-generated and may contain inaccuracies.