CloudFrame Unveils Atlas: Revolutionizing Mainframe Intelligence for Modern Enterprises
On September 18, 2025, CloudFrame introduced Atlas, a cutting-edge intelligence platform geared towards transforming how businesses interpret, manage, and modernize legacy mainframe systems. Unlike conventional methods that merely tally lines of COBOL code as a measure of insight, Atlas takes a more profound approach by mapping relationships, uncovering risks, and identifying opportunities that grant organizations an unparalleled understanding and actionable insights for modernization, governance, and compliance initiatives.
Hans Otharsson, Chief Operating Officer of CloudFrame, emphasized the importance of this innovation: "Mainframe systems serve as the backbone for critical industries; however, their intricate nature combined with a dwindling talent pool poses considerable risks to organizations. Atlas directly addresses these challenges by providing the clarity and intelligence necessary for preserving knowledge, minimizing risk, and modernizing with confidence."
Atlas goes beyond surface-level analysis, performing a micro-level examination to create a dynamic knowledge graph. This graph enables teams to quickly generate essential documents like Business Requirements Documents (BRDs), technical specifications, system diagrams, and comprehensive modernization roadmaps directly from legacy code. The platform empowers users to either find immediate answers to complex technical queries or seek assistance from an AI subject matter expert (SME) to eliminate bottlenecks and accelerate decision-making processes.
With the help of automated discovery features, risk heatmaps, rule-based test scenarios, and performance insights, Atlas significantly elevates planning capabilities and minimizes defects. By harmonizing with compliance, security, and governance standards, organizations can operate more rapidly while retaining confidence in quality and oversight throughout the modernization journey.
In addition to identifying inefficiencies in legacy code, Atlas also uncovers outdated COBOL constructs and performance bottlenecks, such as excessive SQL interactions or heavy I/O operations. By addressing these issues proactively, enterprises can avoid transferring technical debt into modern programming languages like Java, significantly reducing long-term costs associated with system upgrades.
Atlas combines established deterministic code analysis technology, validated by Fortune 100 clients in sectors such as financial services, telecommunications, and energy, with an adaptive AI feature that learns continuously and adjusts to its context. In contrast to traditional generative methodologies, Atlas employs deterministic tools to ensure error-free analysis. The generative AI aspect is exclusively utilized for translating the knowledge graph into natural language documentation and powering an advanced, queryable AI SME, guaranteeing both accuracy and a user-friendly experience when interacting with legacy systems.
It’s important to note that Atlas surpasses the role of a mere documentation tool; it serves as a decision-making engine to address legacy system issues intelligently. While traditional tools focus solely on counts and diagrams, Atlas constructs a living knowledge graph encompassing runtime usage, data lineage, interfaces, and change risks, which is then transformed into prioritized project backlogs, testing scopes, and transition plans that consider dependencies. When paired with CloudFrame's other product, CodeNavigator, Atlas’s analysis promotes automated COBOL-to-Java conversion, yielding high-performance Java with minimal post-conversion adjustments.
To celebrate the launch of Atlas, CloudFrame is offering free access to qualified prospective customers, resting on a limit of 200,000 lines of code. Utilizing a web interface installable in mere minutes, the free version enables users to analyze uploaded mainframe artifacts, although some advanced features won't be accessible. Still, CloudFrame believes that even this limited functionality will showcase Atlas's potential significantly, empowering strategies for modernization, governance, and risk mitigation. Additionally, all documentation and assets produced via the free access will belong to the customer, regardless of whether they opt for a full Atlas subscription. For more information, users can visit https://cloudframe.com/atlas.
Founded in 2018, CloudFrame has been at the forefront of mainframe modernization, aiding organizations in unlocking the value contained within their legacy systems. By providing clarity, intelligence, and tailored transformation pathways that align with modern architectures, CloudFrame equips clients to manage risks effectively, diminish technical debt, and confidently transition towards cloud-native solutions. As a pioneering entity in legacy modernization, CloudFrame is on a trajectory to emerge as the global leader in this domain. For additional information, check out www.cloudframe.com/atlas.
Hans Otharsson, Chief Operating Officer of CloudFrame, emphasized the importance of this innovation: "Mainframe systems serve as the backbone for critical industries; however, their intricate nature combined with a dwindling talent pool poses considerable risks to organizations. Atlas directly addresses these challenges by providing the clarity and intelligence necessary for preserving knowledge, minimizing risk, and modernizing with confidence."
Preserving Knowledge and Reducing Risk
Atlas goes beyond surface-level analysis, performing a micro-level examination to create a dynamic knowledge graph. This graph enables teams to quickly generate essential documents like Business Requirements Documents (BRDs), technical specifications, system diagrams, and comprehensive modernization roadmaps directly from legacy code. The platform empowers users to either find immediate answers to complex technical queries or seek assistance from an AI subject matter expert (SME) to eliminate bottlenecks and accelerate decision-making processes.
Enhanced Planning and Test Readiness
With the help of automated discovery features, risk heatmaps, rule-based test scenarios, and performance insights, Atlas significantly elevates planning capabilities and minimizes defects. By harmonizing with compliance, security, and governance standards, organizations can operate more rapidly while retaining confidence in quality and oversight throughout the modernization journey.
Proactively Tackling Technical Debt
In addition to identifying inefficiencies in legacy code, Atlas also uncovers outdated COBOL constructs and performance bottlenecks, such as excessive SQL interactions or heavy I/O operations. By addressing these issues proactively, enterprises can avoid transferring technical debt into modern programming languages like Java, significantly reducing long-term costs associated with system upgrades.
A Proven Approach to Intelligent Evolution
Atlas combines established deterministic code analysis technology, validated by Fortune 100 clients in sectors such as financial services, telecommunications, and energy, with an adaptive AI feature that learns continuously and adjusts to its context. In contrast to traditional generative methodologies, Atlas employs deterministic tools to ensure error-free analysis. The generative AI aspect is exclusively utilized for translating the knowledge graph into natural language documentation and powering an advanced, queryable AI SME, guaranteeing both accuracy and a user-friendly experience when interacting with legacy systems.
A Clear Path to Modernization
It’s important to note that Atlas surpasses the role of a mere documentation tool; it serves as a decision-making engine to address legacy system issues intelligently. While traditional tools focus solely on counts and diagrams, Atlas constructs a living knowledge graph encompassing runtime usage, data lineage, interfaces, and change risks, which is then transformed into prioritized project backlogs, testing scopes, and transition plans that consider dependencies. When paired with CloudFrame's other product, CodeNavigator, Atlas’s analysis promotes automated COBOL-to-Java conversion, yielding high-performance Java with minimal post-conversion adjustments.
Promotion of Free Access
To celebrate the launch of Atlas, CloudFrame is offering free access to qualified prospective customers, resting on a limit of 200,000 lines of code. Utilizing a web interface installable in mere minutes, the free version enables users to analyze uploaded mainframe artifacts, although some advanced features won't be accessible. Still, CloudFrame believes that even this limited functionality will showcase Atlas's potential significantly, empowering strategies for modernization, governance, and risk mitigation. Additionally, all documentation and assets produced via the free access will belong to the customer, regardless of whether they opt for a full Atlas subscription. For more information, users can visit https://cloudframe.com/atlas.
About CloudFrame
Founded in 2018, CloudFrame has been at the forefront of mainframe modernization, aiding organizations in unlocking the value contained within their legacy systems. By providing clarity, intelligence, and tailored transformation pathways that align with modern architectures, CloudFrame equips clients to manage risks effectively, diminish technical debt, and confidently transition towards cloud-native solutions. As a pioneering entity in legacy modernization, CloudFrame is on a trajectory to emerge as the global leader in this domain. For additional information, check out www.cloudframe.com/atlas.
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