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Hypercubic

AI tool to decode, understand, and future-proof mainframe systems and COBOL code.

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Introduction

Overview

Hypercubic is a cutting-edge AI platform designed to tackle the complexities of mainframe systems and legacy code, particularly COBOL, which powers a significant portion of the world's critical infrastructure. By leveraging advanced AI, Hypercubic decodes these intricate systems, making them understandable and future-proof. It aims to preserve the invaluable human expertise embedded within these systems, ensuring that critical institutional knowledge is not lost due to the retirement of experienced personnel or the opacity of old codebases.

What is Hypercubic?

Hypercubic offers a suite of AI-powered tools, including HyperTwin and HyperDocs, to address the challenges of mainframe modernization and knowledge preservation. It acts as a bridge between the past and the future, making decades-old technology accessible and manageable for modern enterprises. The platform is built to de-risk modernization efforts by capturing and retaining the tacit knowledge of Subject Matter Experts (SMEs).

Key Benefits

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Future-Proof Mainframes: Make critical legacy systems understandable and adaptable to future needs.
Preserve Institutional Knowledge: Capture and retain the expertise of seasoned professionals before it disappears.
De-risk Modernization: Significantly reduce the risks associated with updating or replacing core mainframe systems.
Accelerate Time-to-Value: Deliver production-ready knowledge assets and AI assistance rapidly, cutting down Mean Time To Resolution (MTTR).

Main Features

The platform offers several standout features:

HyperTwin: Creates a digital twin of SME knowledge through AI-driven interviews and real-time workflow capture, ensuring expertise is always accessible.
HyperDocs: Automates the analysis and documentation of mainframe codebases, transforming opaque legacy code into structured, human-readable documentation that stays in sync with the codebase.
Hybrid AI Approach: Utilizes a combination of deterministic and generative AI to ensure accuracy, auditability, and prevent AI hallucinations, fostering trust.
Deep Legacy Interoperability: Specifically designed to integrate with COBOL, JCL, and other legacy mainframe systems.

Who Should Use It

Hypercubic is ideal for enterprises heavily reliant on mainframe systems, including those in financial services, retail, aerospace, energy, utilities, government, and manufacturing. It is particularly beneficial for IT leaders, mainframe administrators, COBOL developers, and knowledge managers tasked with maintaining, modernizing, or migrating critical legacy systems while ensuring the continuity of essential business operations.

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Information

Websitehypercubic.ai
Published date2025/11/04

Product Information

Pricing Model

Supported Platforms

Web

Supported Languages

English

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Frequently Asked Questions

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Key Features

🧠

HyperTwin: AI Knowledge Capture

Captures the institutional expertise of SMEs through AI-driven interviews and real-time workflow analysis, creating a digital twin of their knowledge.

📚

HyperDocs: Automated Documentation

Automates the analysis of mainframe applications, creating structured, auto-updating documentation from legacy codebases.

⚖️

Hybrid AI Approach

Combines deterministic and generative AI to ensure accuracy, auditability, and prevent AI hallucinations, building trust in AI outputs.

🔗

Deep Legacy Interoperability

Specifically built to integrate with and understand proprietary, mission-critical systems like COBOL and JCL.

🛡️

Risk Mitigation

Helps prevent system failures and costly downtime caused by the loss of critical mainframe expertise.

🚀

Accelerated Time-to-Value

Accelerates the delivery of knowledge assets and AI assistance, significantly reducing Mean Time To Resolution (MTTR).

Pros & Cons

Pros

Effectively preserves critical institutional knowledge from retiring experts.
De-risks mainframe modernization projects by making legacy code understandable.
Provides 24/7 access to decades of expertise through AI-driven knowledge capture.
Automates documentation, ensuring it remains synchronized with the codebase.
Offers a hybrid AI approach for reliable and auditable results.

Cons

Requires specialized knowledge of mainframe systems for optimal use.
The initial setup and integration might be complex for non-technical teams.

Use Cases

1Decoding and modernizing complex COBOL applications.
2Capturing and preserving the knowledge of retiring mainframe SMEs.
3Automating the creation of up-to-date documentation for legacy systems.
4Reducing downtime and MTTR for critical mainframe operations.
5Mitigating risks associated with mainframe modernization initiatives.

Who Should Use This?

👤Mainframe Administrators
👤IT Leaders in Legacy Systems
👤COBOL Developers
👤Knowledge Managers
👤Enterprise Architects

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Hypercubic