vFunction offers Continuous Modernization Platform
Product
vFunction provides an AI-driven continuous modernization platform for refactoring monolithic Java and .NET applications and databases.
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vFunction provides an AI-driven continuous modernization platform for refactoring monolithic Java and .NET applications and databases.
Its distinguishing evidence base is runtime as well as static analysis. Combining both lets the platform report how a system actually behaves in production alongside its declared structure, which is what separates it from assistants working from source alone. The generated prompts are specific to the customer's own domain boundaries and dependency graph rather than generic refactoring instructions.
Route to market is reinforced by cloud partnerships and hyperscaler funding programs that can cover license cost, and by deployment inside the customer's own security boundary with ISO 27001 certification. Published outcomes attributed to named customers include a materially shorter modernization program and reduced regression testing effort, and the vendor reports analyst recognition in AI-augmented software engineering categories.
Stated platform scope is limited to Java and .NET estates, so organizations carrying other runtimes must look elsewhere or run the offering alongside separate tooling. The narrowest reading of the first-party material is that the deterministic analysis path is built for those two ecosystems, which constrains the addressable estate in mixed-stack enterprises.
There is no published price list and no self-serve tier. Evaluation runs through a demo request and a phased engagement measured in days to weeks per stage, which raises the commitment required before a team can assess fit and slows adoption where an assistant-native tool could be tried immediately.
The vendor was founded in 2017 by three engineers who had previously built and run a secure file-sharing business together through its acquisition by BlackBerry. Their stated motivation was the difficulty they had faced modernizing a monolithic Java system of their own, and the company was formed around the premise that architectural understanding is the missing input for enterprise modernization programs.
Its platform pairs static and dynamic analysis to map application architecture, domain boundaries and dependencies, and it has since extended that model to feed architectural context into AI code assistants through an MCP server and editor integrations. The vendor operates as a fully remote team, holds ISO 27001 certification and cloud partner competencies, and reports deployments with financial services, hospitality and technology customers.
The offering gives AI code assistants the architectural context they lack when working on large brownfield estates. The system runs static and dynamic analysis inside the customer environment to map flows, call trees, domain boundaries and dependencies, then turns that model into service and domain boundaries, C4 and sequence diagrams, prioritized refactoring work items, and generated specs and integration tests.
Work proceeds through a measured five-step sequence from data collection and analysis through planning, service extraction, and framework and database modernization. Refactoring targets cover monolith-to-microservice decomposition for Java and .NET estates and database conversion from SQL Server, Oracle and DB2 to PostgreSQL through schema conversion and stored-procedure transformation.