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SOFTWARE MODERNIZATION SERVICES

Software Modernization Services That Preserve What Your Code Actually Does

Legacy software stacks create constraints that compound every year. Hiring harder. Security patches gone. Cloud blocked. Sanciti AI’s software modernization services convert legacy applications to modern platforms by reading what the code does, not what documentation claims. COBOL to Java. .NET Framework to .NET Core. J2EE to Spring Boot. VB6 to C#. 4GL to mainstream stacks. 80-90% production-ready code with NIST and OWASP scoring built into generation. Legacy software modernization that preserves behavior, not just syntax.

LLM-agnostic · Secure by design · OWASP & NIST aligned · 30+ technology stacks

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Faster stack conversion cycles

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Lower rewrite costs vs. manual

80-90%

Production-ready at generation

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Automated conversion coverage

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Source technology stacks

TRUSTED FOR STACK CONVERSION

Enterprise teams converting legacy technology stacks to modern frameworks choose Sanciti AI for governed, code-level conversion

Built by V2Soft, 28 years of enterprise delivery · 17 global locations · 6 countries

Sanciti LEGMOD

Conversion pipeline orchestration from legacy stack to cloud-ready code

LEGMOD governs the full conversion lifecycle. For single applications, it manages the pipeline from extraction through deployment. For portfolios with multiple stacks, it sequences conversions across technology groups, handles cross-stack dependencies, and ensures each converted application validates before the next wave begins.
  • Every business rule extracted from legacy code before conversion starts
  • 80-90% of target code generated with NIST/OWASP compliance scoring
  • Self-healing test suites validate behavioral equivalence end to end
  • Containerized deployment with compliance gates and rollback built in
1

Code Extraction

Read legacy source. Extract every business rule, data flow, and exception path.
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2

Target Generation

Generate modern code from extracted logic. Not syntax mapping. Behavioral conversion.
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3

Conversion Validation

Run historical data through both versions. Compare outputs at field level.
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4

Production Deployment

Container packaging, compliance gates, parallel running for critical systems.
Syntax translation tools produce code that compiles but doesn’t handle edge cases. LEGMOD governs a pipeline that converts from business logic understanding, which is why converted applications pass QA instead of spending months in defect remediation.
CONVERSION PIPELINE

Five agents that turn legacy software into production-ready modern code

Each agent handles one stage of the conversion. Output from extraction feeds directly into generation, testing, and deployment. No manual handoffs between tools.

Sanciti RGEN

Reads the legacy source and extracts the full functional blueprint. Business rules, data transformations, exception paths, integration points. The specification that CodeGen generates from.

Sanciti CodeGen

Generates target-stack code from RGEN’s extraction. 80-90% complete. NIST/OWASP scored. SAST and SCA scanned. Follows your team’s naming conventions, not generic templates.

Sanciti TestAI

Validates behavioral equivalence between legacy and modern versions. Runs historical transactions through both. Catches discrepancies at field level. Self-healing tests that adapt as code evolves.

Sanciti Deploy

Packages converted code into containers. Docker, Helm, IaC. Database migration scripts and API modernization artifacts deploy alongside application code.

Sanciti PSAM

Monitors converted applications in production. Catches post-conversion issues early. Builds run books from real incidents so the support team ramps faster on the new stack.
WHY SANCITI AI FOR SOFTWARE MODERNIZATION

Code conversion that understands business logic, not just syntax

Logic-Level Extraction

RGEN doesn’t scan syntax. It reads what the code does. Pricing calculations, approval workflows, routing logic. Every business rule documented before a single line converts.

Security-Scored Generation

Every generated file passes NIST/OWASP checks at creation. SAST and SCA scan before human review. Legacy vulnerabilities don’t carry over. Modern code ships secure by default.

Stack-Specific Patterns

The platform learns target architecture patterns, coding standards, and naming conventions. Spring Boot output looks like your team wrote it. So does .NET Core. Not generic templates.

Full Stack Conversion

Not just application code. Database schemas, stored procedures, API contracts, deployment scripts, and ETL pipelines convert alongside the application. One pipeline. One governed output.
STACKS WE CONVERT

Software modernization services across 30+ legacy technology stacks

Every conversion starts from business logic extraction, not syntax translation. That’s the difference between code that compiles and code that works correctly in production.

COBOL Mainframe
→ Java / Spring Boot

PERFORM to method calls. Copybooks to shared DTOs. JCL batch to scheduled cloud jobs. VSAM to JPA. CICS to REST APIs. Legacy software modernization that handles every mainframe-specific pattern.
J2EE / App Servers
→ Spring Boot / K8s
EJBs to Spring components. JNDI lookups to dependency injection. Servlet filters to Spring Security. App server vendor lock-in eliminated. Cloud-native from generation.
.NET Framework
→ .NET Core / .NET 8
WCF to gRPC or REST. Entity Framework 6 to EF Core. Web Forms to Blazor or React. Windows-only to Linux containers. IIS removed. Cross-platform from day one.
VB6 / Classic ASP
→ C# / Modern Web
COM automation to managed C#. ADO to Entity Framework. ActiveX controls to web components. Desktop-bound forms to responsive browser applications. End-of-life platform risk eliminated.
4GL Platforms
→ Java / .NET / Web
PowerBuilder DataWindows to modern grids. Progress 4GL to Java services. Oracle Forms to web apps. Informix 4GL to mainstream frameworks. Proprietary runtime dependencies removed.
ETL / Data Pipelines
→ Cloud-Native
Informatica mappings to Spark or dbt. DataStage jobs to Airflow. SSIS packages to Azure Data Factory. Ab Initio graphs to cloud-native equivalents. Transformation logic preserved exactly.

What software modernization actually involves at the stack level

Software modernization is rebuilding applications on technology that still gets patches, deploys to containers, and doesn’t need a specialist contractor every time something breaks. Not rehosting. The code changes. The framework changes. A monolith on WebLogic from 2006 becomes Spring Boot on Kubernetes. A VB6 desktop app becomes modern C# on the web. Business rules carry over. Everything holding them hostage to an end-of-life platform gets replaced.

Why Syntax Translation Falls Short

Language-to-language tools produce code that compiles but fails under real conditions. They handle obvious mappings. COBOL PERFORM becomes a Java method call. Output runs. Then QA finds tiered pricing produces wrong results because the tool missed conditional logic in a shared copybook. Sanciti AI doesn’t translate syntax. RGEN extracts what code does at the business logic level. CodeGen generates the modern equivalent from that understanding. Conversion preserves behavior, not structure.

Business Logic Preservation

Enterprise apps accumulate rules for decades. Discount calculations, approval workflows, eligibility checks. Some documented. Most in exception handlers, stored procedures, conditional paths firing under specific data combinations. Miss one and it surfaces as a production defect months later. RGEN catches them all because it reads every path, not a sample. Legacy software modernization services from Sanciti AI produce code verified by TestAI at 90%+ coverage to do what the old application did. All of it.

Production Readiness

80-90% means code that compiles, passes security scans, meets architecture standards, and handles extracted business logic. The 10-20% remaining covers integration scenarios needing human judgment and platform-specific runtime behaviors. Generated files follow your naming conventions, package structure, and patterns. Database migration, API conversion, and deploy scripts generate alongside application code. Software modernization services include the full stack, not just app code in isolation.

How AI changes the economics of legacy software modernization

Without automation, software modernization runs on developer hours. 500,000 lines of COBOL read manually. Rewritten line by line. Scripts built by hand. Cost scales linearly. More code, more months, more contractors charging premiums because the talent pool shrinks every year.

Breaking the Linear Cost Curve

RGEN extracts a full blueprint from 500,000 lines in weeks. CodeGen generates 80-90% of target code. TestAI builds test suites without manual scripting. Economics shift because automation handles volume while humans handle decisions. For mainframe environments running legacy modernization programs, this matters most. Applications are large, integrated, and the COBOL market thins annually. Legacy modernization software powered by AI makes programs feasible that manual approaches price out.

Platform + Service

Sanciti AI combines tool automation with delivery. Platform handles extraction, generation, testing, deployment. Team handles enterprise context, governance, program management. Tools alone miss organizational complexity. Services alone can’t match throughput. The combination works for software modernization services where technology is half the challenge and regulatory and organizational complexity is the other half. Legacy software modernization programs need both.

BUILD ANYWHERE

Run stack conversions from browser, IDE, or desktop

The same conversion pipeline wherever your development and migration teams work.

Web Interface

  • Upload legacy codebases for analysis
  • Review extraction results and conversion output
  • Track conversion progress across stacks
  • PII/PHI redaction and audit trail access

IDE Plugins

  • Review generated code inside your editor
  • Side-by-side comparison with legacy source
  • SAST and SCA results inline before commit
  • IntelliJ, VS Code, Eclipse support

Desktop App

  • One-click Java 8/11 to 21 modernization
  • REST API generation from prompts
  • Auto-generate unit tests with coverage targets
  • Batch conversion across multiple modules

CONVERSION OUTCOMES

Stack conversion results from enterprise programs

Automotive OEM

Legacy diagnostic systems on proprietary stacks converted to modern Java services integrated with cloud-based analytics.

Healthcare Payer

Monolithic Java claims platform decomposed into Spring Boot microservices with database migration and API modernization.

Financial Services

Full test automation generated alongside code conversion, validating behavioral equivalence at 98%+ coverage.

Who gets the most out of software modernization services

Stack-level conversion impacts every role differently. CTOs see the technology roadmap. Engineers see the hiring pipeline. Security sees the vulnerability surface. Product sees the feature velocity.

CTOs & CIOs

Technology stack roadmap with clear migration paths from end-of-life platforms. Modern stacks with active vendor support and developer communities. Cloud deployment standard, not exception. Software modernization services turn the legacy estate from a liability into an investment with returns per conversion wave.

Engineering Managers

Teams work on stacks they know. No COBOL, VB6, or PowerBuilder expertise needed post-conversion. Standard CI/CD applies to modernized code. Hiring pipeline opens because candidates want modern tech. 35% less review time when generated code follows consistent standards. Legacy software modernization ends the talent bottleneck.

Security & Compliance

Legacy platform vulnerabilities eliminated at the stack level. Modern frameworks with current patches and automated scanning. SAST and SCA built into generation. Every output scored before review. For regulated environments, software modernization services with governance at generation satisfy audit requirements legacy stacks structurally cannot.

Product Owners

Applications on modern frameworks ship features faster. Capabilities blocked by legacy constraints become standard. Integrations with analytics, mobile, and partner APIs stop being special projects. The app that bottlenecked the roadmap becomes the platform the business builds on next.

SECURE CONVERSION

Single-tenant deployment · Private VPC (AWS / Azure) · Every converted file security-scored · Full conversion audit trail

FAQ

Frequently Asked Questions

Converting applications from outdated stacks to modern frameworks. Language conversion (COBOL to Java, VB6 to C#), framework migration (.NET Framework to .NET Core), architecture redesign (monolith to microservices), infrastructure modernization (on-premise to cloud). Goal: applications current teams can maintain and deploy with modern tooling. Not just running old code somewhere new.
Sanciti AI automates 80-90%. RGEN extracts every business rule, batch flow, and data pattern from the COBOL codebase. CodeGen generates Java/Spring Boot preserving behavior across all paths. TestAI validates at 90%+ coverage. The remaining 10-20% covers complex edge cases needing human review. Senior architects add the value no tool replaces.
Extracted before conversion. RGEN maps every rule, calculation, workflow, exception at functional level. CodeGen generates from that extraction, not from syntax. Modern app implements same behavior because conversion started from what code does, not how it’s written. Catches logic in stored procedures, copybooks, and platform patterns that syntax tools miss.

PowerBuilder, Progress OpenEdge, Informix 4GL, Oracle Forms. Data-bound forms, reporting logic, business rules all mapped to mainstream stacks. Complex 4GL widgets redesigned for current front ends. Proprietary runtime goes away. Functionality doesn’t.

Rewriting starts from requirements that describe version one, not the 400 patches since. Discovery during UAT triggers rework. Sanciti AI starts from code. Extracts what the app actually does. Generates from evidence. Preserves all functionality. 50% lower cost than rewrites because extraction eliminates discovery cycles that make manual approaches expensive.

Mid-size app (200K-500K lines): assessment 2-3 weeks, full conversion 3-6 months. Portfolios run in waves, first wave to production within Q1. Code-level estimates hold. Workshop estimates usually don’t. For legacy application modernization services across larger portfolios, LEGMOD sequences waves to maintain momentum.

Five agents in one platform. RGEN extracts. CodeGen generates. TestAI validates. Deploy packages. PSAM supports. LEGMOD orchestrates. Web, IDE, desktop access. LLM-agnostic with BYOK/BYOM. Private VPC. For legacy modernization services needing governance, it’s tool automation plus delivery accountability.

Every phase in a private VPC. Single-tenant. PII/PHI masked before egress. Full audit trails. HITRUST, HIPAA, OWASP, NIST, GDPR. Every generated file security-scored at creation. SAST and SCA scan everything. For healthcare, financial services, government: the governance layer is what passes compliance review.

Request a Demo

See what your COBOL, J2EE, .NET, or 4GL codebase reveals

Upload your legacy code. Get the extraction. See 80-90% of the modern equivalent generated before you commit to a program. Free assessment for qualified enterprises.

The Agentic AI SDLC platform · A V2Soft Company · v2soft.com
© 2026 Sanciti AI LLC. All Rights Reserved. · Secure · Scalable · Smart · LLM-Agnostic

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Sanciti AI
Full Stack SDLC Platform

Full-service framework including:

Sanciti RGEN

Generates Requirements, Use cases, from code base.

Sanciti TestAI

Generates Automation and Performance scripts.

Sanciti AI CVAM

Code vulnerability assessment & Mitigation.

Sanciti AI PSAM

Production support & maintenance, Ticket analysis & reporting, Log monitoring analysis & reporting.

Sanciti AI LEGMOD

AI-Powered Legacy Modernization That
Accelerates, Secures, and Scales

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