Hypercubic
Hypercubic provides an agentic AI platform to maintain and modernize mission-critical COBOL and mainframe infrastructure powering the world's top enterprises.
At a Glance
- Telecommunications
- Airlines
- Logistics
- Banking/Finance
- +1 more
AI Tools by Hypercubic
(1)
Hopper
Agentic IDE for Mainframes
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Latest News
Championing for Legacy Modernization Internally - Thought Leadership Piece
Hypercubic Launches Hopper, the First Agentic AI Platform for Mainframe Modernization
Hypercubic Featured in Y Combinator Fall 2025 Batch Launch
Hypercubic Emerges from Stealth to Tackle the $3 Trillion Mainframe Modernization Problem
Products & Services
An agentic development environment for IBM mainframes (z/OS) that connects AI agents to legacy systems to accelerate maintenance and modernization.
A platform that builds digital twins of company knowledge to preserve expertise and streamline mainframe operations.
AI-native documentation platform for decoding and preserving legacy COBOL and mainframe business rules.
Market Position
Hypercubic differentiates itself by using 'agentic AI' specifically tailored for mainframe environments (IBM z/OS) and legacy languages like COBOL, focusing on knowledge preservation as much as code transformation.
Leadership
Founders
Sai Gurrapu
Co-founder and CEO of Hypercubic. Previously an engineer at Apple working on AI/Machine Learning. Part of Y Combinator Fall 2025 batch.
Aayush Naik
Co-founder and CTO of Hypercubic. Previously a software engineer at Apple. Expert in AI and distributed systems. Part of Y Combinator Fall 2025 batch.
Executive Team
Sai Gurrapu
CEO & Co-Founder
Ex-Apple AI engineer with experience in machine learning and enterprise systems.
Aayush Naik
CTO & Co-Founder
Ex-Apple software engineer, specializing in distributed systems and AI applications.
Founding Story
Founded by ex-Apple engineers Sai Gurrapu and Aayush Naik, Hypercubic was started to address the 'retirement cliff' of mainframe expertise. With critical global infrastructure running on legacy COBOL systems, the founders envisioned using agentic AI to decode, preserve, and modernize these systems before the institutional knowledge disappears.
Business Model
Revenue Model
B2B Subscription-based SaaS model (SaaS/Enterprise AI).
Pricing Tiers
Tailored solutions for Fortune 500 companies modernizing large-scale mainframe infrastructure.
Target Markets
- Telecommunications
- Airlines
- Logistics
- Banking/Finance
- Government
- Mainframe modernization
- COBOL code maintenance
- Knowledge preservation for retiring engineers
- Legacy system migration
- Freight billing and TMS modernization
- Fortune 500 enterprises
- Airlines
- Logistics companies