From Documentation to Deployed Software
Legacy system modernization has long been constrained by slow, error‑prone handoffs between design and engineering teams. AI platforms such as DesignVerse are redefining this process through enterprise software automation that builds applications directly from an organisation’s existing documentation, design systems, component libraries and internal rules. Instead of manually translating product requirements and interface designs into code, the platform uses AI code generation to produce production‑grade software aligned with the company’s current or target architecture and tech stack. This reduces inconsistencies, speeds up reviews with stakeholders and keeps new applications compatible with existing infrastructure. Crucially, the AI is grounded in each customer’s standards rather than generic models, helping ensure that governance, compliance and security rules are embedded by design. For enterprises running complex environments across finance, cybersecurity and public infrastructure, this approach promises faster digital transformation without a risky “rip‑and‑replace” of core systems.
DesignVerse’s Funding and Mission-Critical Focus
DesignVerse has raised more than $5.5 million in seed funding to scale its AI platform for legacy system modernization, following an earlier pre‑seed round of $850,000. The investment, led by Begin Capital, Gapminder VC and Underline Ventures alongside angels from Adobe, LSEG and UiPath, underscores growing confidence in AI that can safely support infrastructure upgrade projects in mission‑critical settings. Co‑founders Andrei Manolache, a former product design lead for Oracle’s enterprise design system, and veteran engineer Robert Dragutoiu built DesignVerse specifically for organisations where reliability, security and regulatory compliance are non‑negotiable. Rather than targeting hobbyist developers or simple prototypes, the platform is aimed at complex operational software used in aviation, banking, cybersecurity and government environments. By keeping new software aligned with existing architectures and standards, it helps large organisations accelerate modernization while maintaining the stability of the systems that keep their operations running.
Supporting Air Traffic Management Without Disrupting Operations
The clearest demonstration of this new wave of enterprise software automation comes from air traffic management. EUROCONTROL, which coordinates air traffic across Europe, used DesignVerse to overhaul a 15‑year‑old application underpinning aviation infrastructure. The AI‑driven infrastructure upgrade was completed in just over a month, compared with an estimated six months via conventional development. The updated software now supports systems used at airports and in air traffic control operations, contributing to journeys for tens of millions of passengers each year. EUROCONTROL highlights that aviation’s innovation cycle is typically slow because reliability, safety and security are paramount. DesignVerse’s platform allowed teams to modernize core systems at an accelerated pace without compromising those requirements, and without disrupting ongoing operations. This case illustrates how AI code generation, when grounded in strict industry rules and documentation, can upgrade critical systems incrementally rather than forcing risky large‑scale replacements.
Bridging the Gap Between Design, Engineering and Operations
A persistent problem in digital transformation is the disconnect between design intent and production software. In many enterprises, designers specify user journeys and interfaces, then engineers re‑interpret them manually, introducing delays and inconsistencies. DesignVerse’s approach seeks to remove that friction entirely. By generating functional enterprise applications directly from approved design systems and internal rules, teams can validate behaviour with business stakeholders earlier and more accurately. This tight feedback loop helps ensure that modernization efforts reflect real operational needs while still respecting existing infrastructure constraints. For organisations juggling multiple legacy platforms, the result is fewer handoffs, reduced manual rework and faster release cycles—DesignVerse claims teams can ship digital products up to five times faster. Rather than treating modernization as a one‑off project, AI‑driven platforms like this enable a continuous, governed evolution of enterprise systems that keeps pace with business change.