The tool is designed to convert legacy COBOL code into readable Java code using AI, aiding modernization.
The AI-powered conversion ensures that Java code is produced in a human-readable format.
The conversion process is safer due to built-in correctness checks throughout the pipeline, validated by AI test suites.
Yes, modernized code makes use of Open Source libraries to maximize cost savings.
An initial survey is performed to identify and risk-score each component and dependency.
After the proof-of-concept, the full modernisation process is undertaken, allowing the team to start innovating immediately.
The solution is developed by a startup research lab focused on AI and programming languages, backed by investors like Y-Combinator.
The company combines modern LLM-based approaches with traditional compiler-based accuracy for COBOL to Java migration.
Customers benefit from reduced maintenance overhead, cost savings, and the ability to focus on innovation rather than legacy struggles.
Modernization is crucial as it allows organizations to innovate quickly by removing the burden of outdated systems and improving code maintainability.