Kodesage Raises $6.6 Million to Advance AI for Legacy Software
Kodesage, a company specializing in transforming legacy software systems through artificial intelligence, has successfully raised $6.6 million in a seed funding round. The round was led by VentureFriends, with additional participation from investors such as Portfolion, Christian Szegedy, and professional footballer Mario Götze.
Company Overview
Founded in 2024, Kodesage offers a platform that assists enterprises in understanding and upgrading their outdated software systems. The platform extracts insights from existing source code and documentation to form a continuously updated knowledge layer. This enables teams to maintain, migrate, and support critical applications more efficiently, reducing operational risks.
Kodesage’s platform supports various technologies including COBOL, Oracle Forms, PL/SQL, PowerBuilder, and RPG. It automates tasks such as documentation, code discovery, test creation, and AI-assisted migration.
Leadership Team
The company was co-founded by Gyorgy Szilagyi, who serves as COO, alongside Gergely Dombi, Miklós Szurdi, and Miklos Szurdi. The leadership team brings a wealth of experience in software development and AI.
Strategic Use of Funds
The newly acquired funds are expected to be directed towards enhancing Kodesage's AI platform capabilities, expanding its team, and increasing its market reach. By operating within secure environments such as on-premise, virtual private cloud, or air-gapped systems, Kodesage ensures that sensitive client data remains fully controlled by the customer.
Industry Impact
Kodesage’s approach to modernizing legacy software is increasingly relevant in today’s tech landscape, where many enterprises are burdened by outdated systems. By providing tools that facilitate smoother transitions to modern architectures, Kodesage helps companies remain competitive and agile.
This funding round marks a significant step for Kodesage as it continues to develop solutions that cater to the complex needs of businesses dealing with legacy code challenges.