Kodesage raises $6.6M for AI-powered legacy software modernisation

2026-06-04 · Source: Tech.eu - Tech.eu · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Cloud Computing & IT Infrastructure · Depth: Fundamental Awareness, quick

Summary

Kodesage, a startup founded in 2024 by Gergely Dombi, Miklos Szurdi, and Gyorgy Szilagyi, has secured \$6.6 million in seed funding. This round was led by VentureFriends, with Portfolion and angel investors like Christian Szegedy (xAI co-founder) participating. Kodesage develops an on-premise AI platform designed to help enterprises understand, maintain, and modernize complex legacy software systems. The platform extracts information from source code and documentation to build a continuously updated knowledge layer, enhancing efficiency and reducing risk for mission-critical applications. It targets highly regulated sectors such as banking, insurance, and telecommunications, supporting diverse technology stacks including Oracle Forms, PL/SQL, COBOL, PowerBuilder, and RPG. Kodesage's solution automates tasks like codebase discovery, documentation, code conversion, and test creation, operating within customer-controlled environments to meet strict data residency and compliance needs. The funding will fuel expansion across the US and Europe and further product development.

Key takeaway

For Directors of IT or AI/ML overseeing legacy system modernization, Kodesage's \$6.6 million funding validates a critical approach. Your teams can now consider AI-powered, on-premise solutions that automate documentation, code conversion, and testing for systems like COBOL or Oracle Forms. This reduces operational complexity and addresses data residency concerns, accelerating modernization efforts while mitigating the risks of disappearing institutional knowledge. Evaluate such specialized platforms to maintain compliance and improve support for mission-critical applications.

Key insights

Kodesage's AI platform modernizes legacy software by creating a knowledge layer from code and documentation, ensuring compliance.

Principles

• AI can document and convert legacy code.
• On-premise AI addresses data compliance.
• Knowledge layers reduce legacy system risk.

Method

Kodesage's platform extracts data from source code and documentation to build a continuously updated knowledge layer, then automates codebase discovery, documentation generation, context-aware code conversion, and test creation.

In practice

• Automate COBOL or PL/SQL codebase discovery.
• Generate documentation for Oracle Forms systems.
• Convert legacy code with AI assistance.

Topics

• Legacy Software Modernization
• AI Platforms
• On-Premise Solutions
• Codebase Analysis
• Regulated Industries
• Enterprise IT

Best for: CTO, VP of Engineering/Data, Executive, Investor, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech.eu - Tech.eu.