Kodesage, a startup growing an
on-premise AI platform for legacy software program modernisation, has raised $6.6
million in a seed funding spherical led by VentureFriends. Present investor
Portfolion additionally participated within the spherical, alongside angel buyers together with
Christian Szegedy, co-founder of xAI, and German footballer Mario Götze.
Based in 2024 by Gergely Dombi,
Miklos Szurdi and Gyorgy Szilagyi, Kodesage helps enterprises perceive,
doc and modernise advanced legacy software program methods. Its platform extracts
data from supply code and documentation to create a repeatedly up to date
data layer that allows groups to keep up, migrate and help
mission-critical purposes with better effectivity and decrease threat.
Kodesage is primarily targeted on
extremely regulated industries, together with banking, insurance coverage, vitality,
transportation, telecommunications and the general public sector, the place important
enterprise operations usually proceed to depend on software program constructed many years in the past. Whereas
these methods stay important to day-to-day operations, modernising them can
be expensive and complicated, notably as skilled engineers retire and
institutional data turns into more durable to entry.
The platform is designed to analyse
each fashionable and legacy know-how stacks, together with Oracle Kinds, PL/SQL,
COBOL, PowerBuilder and RPG. It automates duties akin to codebase discovery,
documentation technology, context-aware code conversion, check creation and
AI-assisted manufacturing help.
To handle knowledge residency and
compliance necessities, Kodesage operates completely inside customer-controlled
environments, whether or not on-premise, in a digital personal cloud or in absolutely
air-gapped deployments. This method permits organisations to make use of AI-powered
tooling whereas maintaining supply code, databases and business-critical data
inside their very own infrastructure.
Software program modernisation is never
easy, notably in regulated industries the place legacy and fashionable
methods usually have to coexist for years. As institutional data steadily
disappears, the burden of sustaining these methods continues to develop. Our purpose
is to assist organisations modernise quicker, scale back operational complexity and
enhance help by AI-assisted tooling,
stated Gergely Dombi, co-founder and CEO
of Kodesage.
The corporate plans to make use of the brand new
funding to develop its go-to-market efforts throughout the US and Europe, whereas
persevering with to spend money on product improvement and engineering. Kodesage stated its
long-term imaginative and prescient is to allow self-healing enterprise purposes able to
repeatedly studying, testing and validating enhancements with human oversight.