Hypercubic Inc.

Based in the US, Hypercubic Inc. operates as a provider of agentic AI solutions for mainframe modernization, focusing on transforming legacy systems into accessible applications that enhance operational efficiency. Hypercubic Inc. is focused on agentic AI solutions for mainframe modernization.

Founded in 2025 in San Francisco, US, the company has engaged in 1 deal as of November 17, 2025. The founders include Aayush Naik and Sai Gurrapu, who also serves as the CEO. In August 2026, Hypercubic Inc. raised USD 5.

3 million in seed funding led by CIV, with participation from Afore Capital, Epsilon Ventures, Unpopular Ventures, and Multimodal Ventures, Pioneer Fund, Y Combinator. Hypercubic has not undergone any significant pivots or changes in its business operations since its inception. Hypercubic specializes in agentic AI solutions for mainframe modernization, focusing on transforming complex legacy systems into understandable and future-proof applications. The core products include HyperTwin and HyperDocs, which serve to capture institutional knowledge and create documentation from mainframe operations, respectively.

HyperTwin functions by developing a digital twin of subject matter experts (SMEs), allowing organizations to retain critical expertise and workflows that are typically lost over time. HyperDocs automates the generation of structured documentation from existing COBOL codebases and mainframe operations, making complex processes more accessible. These solutions cater to various industries, including financial services, aerospace, manufacturing, and government, with a client base that spans multiple geographical markets, including North America and Europe. Hypercubic's revenue model is structured around B2B transactions, primarily involving subscriptions to its flagship products like HyperTwin and HyperDocs.

The company engages with enterprises that require mainframe modernization and knowledge preservation, providing tailored solutions that enhance operational efficiency and reduce the risk of system failures. Client transactions typically involve annual or multi-year agreements for access to these AI-driven tools, with a focus on continuous support and updates. The pricing structure aligns with the value delivered through the preservation of institutional knowledge and improved uptime, fostering long-term partnerships that enhance clients' operational capabilities. The firm’s offerings are specifically designed for organizations reliant on legacy systems, ensuring that critical knowledge is retained and readily accessible for their business operations.

The company plans to utilize August 2026 funding to enhance its artificial intelligence agents and expand support for enterprise customers modernizing COBOL applications.