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Agentic AI platform for mainframe operations and modernization
hypercubic.aiLast updated
In short: Hypercubic raised $5.3 million in seed funding and launched AI-driven tools to modernize legacy mainframe systems.
The company aims to replace bespoke human efforts with a software-driven process using reasoning models to rebuild critical legacy systems faster and cheaper.
The system uses layered correctness loops to safely transform COBOL applications to modern cloud-native architectures.
Legacy systems encode tacit knowledge in running behavior. Standard modernization fails by centralizing it. AI explores faithful twins to discover rules through interaction.
It processes entire large codebases holistically using large context LLMs, outperforming fragmented techniques like RAG on PyTorch. Initial results show clearer documentation.
Hypercubic, a San Francisco, CA-based AI infrastructure startup developing a software-driven mainframe modernization platform, raised $5.3m in Seed funding...
Hypercubic helps enterprises maintain and modernize legacy systems running on mainframes and COBOL.
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