AI-driven Architectural Modernization

Faster modernization starts with architecture

vFunction is an AI-augmented code modernization tool focused on architectural transformation of complex applications into cloud-native services. It powers code assistants with runtime architectural insights, transforms Java and .NET monoliths into modular, microservices-based, AI-ready, apps, at least 15X faster than traditional efforts, while automating fixes and eliminating architectural technical debt.

Use Cases

• Modernize to the Cloud
  Complex on-premises monoliths accumulate years of architectural technical debt, making it difficult to release quickly, scale efficiently, or adopt AI. A simple lift-and-shift approach rarely succeeds: migration requires extensive rework, costs skyrocket on oversized machines, and architectural debt blocks elasticity and savings. With vFunction and GenAI, organizations can refactor as they migrate, addressing debt head-on and realizing cloud benefits at a fraction of the time, cost, and risk.
• Move to Higher Compute Services
  In some cases, urgent migrations-such as data center shutdowns-force enterprises to move applications quickly to higher compute services without the chance to modernize. While this ensures continuity, delaying modernization leads to ballooning expenses, lost elasticity, and reduced engineering velocity. By applying vFunction and GenAI, organizations can modernize rapidly after migration, reducing costs and risks while unlocking the full power of cloud-native platforms