CLPS announced a new AI‑driven platform that converts legacy COBOL code into Java, targeting core banking modernization. The platform uses large language models to semantically interpret COBOL business logic and automatically generate equivalent Java code, offering a full‑cycle development and verification process that aims to preserve system stability and regulatory compliance.
The solution was validated in a proof‑of‑concept with a major Hong Kong bank that modernized a 30‑year‑old mortgage system. The PoC achieved a 70% automation rate in code conversion, delivering rapid and accurate results while maintaining core functionality and system stability.
CLPS positioned the platform as a key growth engine for its digital‑transformation services. The company has been investing in AI capabilities, including participation in the Hong Kong Monetary Authority’s GenA.I. Sandbox, and the new platform is expected to accelerate adoption of its broader AI and low‑code offerings across the financial services sector.
While the announcement does not disclose a public release timeline, CLPS indicated that the platform will be available to other financial institutions in the near future, following the successful PoC. The company also highlighted competitive advantages, noting that its LLM‑based approach reduces manual effort and mitigates risk compared to traditional migration methods used by competitors such as IBM, Astadia, and AWS.
The launch aligns with CLPS’s strategic focus on AI, low‑code, RPA, cloud computing, and big data, and follows the company’s 2025 innovation engine framework. The new solution is expected to strengthen CLPS’s position in the legacy modernization market, which is projected to grow as banks retire COBOL developers and seek agile, cost‑effective modernization pathways.
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