HyperCube AI is a startup that uses AI technology to help large enterprises parse, maintain, and modernize their mainframe legacy systems (especially COBOL code). Its core mission is to address knowledge loss and system migration challenges.
HyperTwin aims to create 'digital twins' for domain experts, capturing tacit knowledge such as workflows and debugging decisions through AI, and converting them into digital assets that can be permanently saved and accessed, addressing the skills gap caused by expert retirement.
Its advantages lie in AI-driven deep understanding of system business logic, adopting a progressive migration approach to reduce risk, shortening modernization cycles from months to weeks, and ensuring business continuity through knowledge digitization.
Primarily serves industries that rely heavily on mainframe computers to run core business operations, such as financial services, government, and Fortune 500 companies. These organizations typically have a large amount of COBOL legacy code and face the aging of senior experts.
It combines deterministic analysis with generative AI, and uses layered agents for validation. It automatically generates test cases through model-based security testing and uses real operating data to ensure the converted code behaves consistently.
Yes. HyperCube AI's solutions support integration with existing enterprise toolchains (such as Slack, Jira) and enable seamless interaction between mainframes and cloud services via APIs, easing incorporation into existing workflows.
Cubic AI is an AI-powered code review tool built for complex codebases, helping development teams automatically detect deep defects and improve code quality and review efficiency.
ComplyCube provides an integrated digital identity verification and AML compliance solution to help businesses simplify compliance workflows, prevent fraud, and enhance the customer experience.
