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This category comprises AI-native platforms that modernise legacy enterprise codebases by converting them into contemporary, cloud-native technology stacks. Source systems typically include COBOL, VB6, PowerBuilder, SAP, Oracle Forms, RPG, ADABAS Natural, ABAP, PL/SQL, PL/I, EJB, ColdFusion, and MS Access; target architectures typically include .NET, Java Spring Boot, Angular, React, Python, TypeScript, Go, and cloud platforms such as Azure and Google Cloud. Rather than rewriting systems manually, these platforms first extract and preserve the underlying business logic, commonly represented as a knowledge graph or semantic layer of rules, workflows, and dependencies, and then generate governed, production-ready code in the target language with traceability back to the original logic.
Enterprises running business-critical systems on legacy languages and platforms face a well-documented set of constraints: a shrinking pool of engineers able to maintain COBOL, PowerBuilder, or similar codebases; escalating vendor lock-in and licensing costs tied to outdated platforms; and the risk that any manual rewrite may fail to preserve business logic accurately, introducing costly regressions. Traditional modernisation projects address this through lengthy, consultant-led migrations that can take months or years, carry significant cost, and still leave residual risk around functional parity. This category solves that problem by automating the bulk of the migration workflow, from legacy code analysis and business-logic extraction through to code generation, testing, and cutover, while providing evidence of behavioural or functional equivalence between old and new systems. In doing so, it compresses modernisation timelines from months to weeks, reduces dependency on scarce legacy-language expertise, and lowers the execution risk that has historically made large-scale system modernisation a slow and high-stakes undertaking.
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An AI-native platform that modernizes legacy systems by extracting and freezing business logic from COBOL, SAP, PowerBuilder, and other legacy languages into a patent-pending knowledge graph, then generating governed, production-ready modern code with full traceability — cutting migration timelines from months to weeks and replacing traditional manual systems-integrator work.
by QuantCore
An autonomous AI agent swarm that ingests, analyzes, rewrites, verifies, and deploys legacy enterprise codebases (COBOL, ABAP, PL/SQL, VB6, legacy Java) to modern stacks such as Python, TypeScript, and Go — providing provable behavioral equivalence, incremental cutover, and zero rip-and-replace risk.
by Growth Acceleration Partners
GAPVelocity AI is a hybrid AI platform that automates legacy application modernization by combining a deterministic AI engine (for precise, auditable code transformation via AST analysis) with generative AI tools (for analysis, test generation, and documentation), converting legacy codebases such as VB6, PowerBuilder, and MS Access into modern .NET, Blazor, and cloud-native Azure architectures at up to 99% automation with full business logic preservation.

by IONATE
IONATE™ APPDATE is an AI/ML-powered application modernization engine that automatically converts legacy systems—including COBOL, Oracle Forms, RPG, ADABAS Natural, and Visual Basic—into modern, cloud-native code in .NET Core, Java Spring Boot, Angular, or React, with 100% business logic and data parity guaranteed in as little as 3–6 months.

A Gen AI-powered legacy application modernization platform that uses coordinated AI agents to assess, document, plan, refactor, and validate enterprise legacy codebases (VB6, .NET Framework, EJB, ColdFusion, etc.), automating approximately 70% of migration work and delivering 100% functional parity up to 50–70% faster than manual approaches.

by Rappit
Rappit Developer is an AI-led application development platform that enables developers to modernize legacy enterprise systems and generate cloud-native Java applications on Google Cloud up to 4x faster, using an agentic modernization blueprint that cuts discovery time by 70% and transforms aging systems into owned, vendor-lock-in-free applications.

An Agentic AI platform that ingests legacy codebases (COBOL, Oracle Forms, PL/I, PowerBuilder, and others) and constructs a semantic knowledge layer of business rules, workflows, and dependencies, enabling enterprises to safely discover, analyze, and modernize mission-critical systems while preserving underlying business logic.