How do you ensure the new system matches the old system's results?

We use dual-run testing: running the same inputs through both systems simultaneously and using AI to compare outputs. Any discrepancy is flagged and fixed until they match 100%.

Do we have to modernize everything at once?

No. We use the strangler fig pattern: modernizing the system piece by piece, wrapping the old system in a modern API layer until the legacy core is eventually replaced with zero downtime.

What languages can your AI handle?

We have models trained on everything from COBOL, Fortran, and Delphi to early versions of Java, C#, and PHP, covering the full spectrum of legacy enterprise languages.

Is AI-generated code secure?

Our process includes automated SAST (Static Application Security Testing) that checks every line of AI-generated code for security flaws and compliance violations before it reaches production.

How do we maintain the system after you leave?

The modernized system is built in standard, clean code (TypeScript, Go, Python). We provide full documentation and training so any modern developer can maintain and extend it independently.

AI-First Application Services

AI-Assisted Legacy System Modernization that Future-Proofs Your Past

We migrate legacy codebases to modern cloud-native architectures using AI-driven refactoring, automated test generation, and accelerated documentation, cutting modernization timelines by up to 65%.

Talk to an Expert

Start your project with us

Unshackle Your Engineering Team

Legacy code is the technical debt that stops innovation. It's expensive to maintain, impossible to secure, and a nightmare to scale, but a total manual rebuild is too risky and takes too long. We provide a third way: AI-assisted modernization that transforms your legacy estate without the risk of starting from scratch. We use specialized AI models to understand legacy COBOL, Java, or .NET code, automatically mapping its dependencies and refactoring it into modern cloud-native microservices. We don't just rewrite code; we re-engineer it with intelligence—leveraging AI to generate unit tests, documentation, and API layers to reduce modernization timelines by 60–70% while eliminating human error.

The Old Way

Legacy Architecture

The Intelegencia Way

Modern AI-Ready Stack

Monolithic spaghetti code

Modular microservices

Zero documentation or tests

Automated test coverage

Expensive on-prem hardware

Elastic cloud-native infra

High security vulnerability risk

Hardened, compliant code

Slow 6-month release cycles

Rapid CI/CD deployment

AI-Driven Code Refactoring

Manual refactoring is slow and error-prone. Our AI can ingest millions of lines of legacy code, identify the logical clusters that should become independent microservices, and translate that logic into modern languages (from legacy Java to modern TypeScript) while preserving the original business intent. We use semantic code mapping to ensure that even undocumented logic is captured and preserved in the new architecture. No tribal knowledge is lost in the migration.

Multi-Language Code Translation

Automated Monolith Decoupling

Dead-Code Identification

Semantic Logic Mapping

Tech-Debt Scoring & Prioritization

Automated Test-Suite Generation

The biggest risk in modernization is breaking existing business behavior. We use AI to scan your legacy application's behavior and automatically generate thousands of unit and integration tests for the modernized code. This safety net ensures the modernized application performs exactly like the original, but faster and more reliably. We move from hope-based migration to test-driven certainty.

AI-Written Unit & E2E Tests

Regression Suite Automation

Edge-Case Scenario Mining

Continuous Testing Integration

Zero-Regression Proofing

Cloud-Native Architecture Migration

Modernization isn't just about code; it's about the infrastructure underneath it. We use AI to automate generation of Kubernetes manifests, Terraform scripts, and CI/CD pipelines suited to your target cloud. We move your application from static servers to elastic cloud, allowing it to scale automatically based on demand. We build operational excellence into your modernized application from day one, not as an afterthought.

Automated IaC (Terraform) Generation

Kubernetes Containerization

Serverless Pattern Adoption

Database Modernization Sync

Cloud Cost Optimization

The Evolution Stack

Modernization Capabilities

AI-driven engineering units transforming legacy monoliths into cloud-native architectures, eliminating technical debt, and freeing your team to innovate instead of maintain.

Database Modernization

Migrating legacy SQL databases to high-scale cloud-native platforms.

UX Refactoring

Transforming green-screen UIs into modern, responsive React applications.

Security Hardening

AI-driven identification and patching of legacy vulnerabilities and CVEs.

Mainframe Bridge

Building AI-powered APIs to expose mainframe data to modern applications.

Documentation Auto-Synthesis

Legacy systems typically have zero documentation. Our AI reads the entire modernized codebase and generates human-readable documentation, API specs, and architectural diagrams automatically. We ensure your internal team actually understands the new system, eliminating the single-point-of-failure risk that comes with tribal knowledge. We build the knowledge base that your future development team will rely on.

Auto-Generated API Specs (Swagger)

Architectural Diagram Synthesis

Business Logic Explainers

Developer Onboarding Guides

Continuous Doc-Update Logic

Intelligent Knowledge Extraction

Legacy systems often lack proper documentation, making modernization risky. We use AI to crawl your entire codebase and database schemas, extracting business rules and logic that have been buried for decades. We turn undocumented tribal knowledge into actionable, modern specifications.

Business Rule Extraction

Semantic Code Discovery

Database Schema Mapping

Legacy Dependency Analysis

Automatic Specification Synthesis

Zero-Downtime Migration Strategy

We don't believe in big-bang migrations that risk your business. We use AI-powered synchronization layers to keep your legacy and modern systems in perfect parity during the transition, allowing you to migrate one module at a time with absolute confidence and zero downtime.

Dual-Run Parity Testing

Strangler-Fig Orchestration

Real-Time Data Sync

Phased Module Cutover

Automated Rollback Guardrails

The Path to the Future

Our Modernization Roadmap

We transform your legacy system through structured AI discovery and phased migration with zero business disruption.

Inventory & Discovery

Using AI to map the entire dependency web of your legacy codebase and infrastructure.

Value-Stream Analysis

Identifying which modules will produce the highest ROI from modernization first.

AI Refactoring Sprints

Rapidly translating and test-proofing core business logic in the new architecture.

Cloud Orchestration

Deploying to an elastic, secure, cloud-native environment with full observability.

Team Handoff

Comprehensive documentation and training so your internal developers own the system.

Measured Performance. Proven Growth.

Migration Speed

Code Debt Eliminated

OpEx Savings

Test Coverage

Frequently Asked Questions
About AI-Assisted Legacy System Modernization

Here you will find answers to questions we get asked the most about our offerings.

Yes. This is where our AI approach excels. It reads the code to understand the logic, effectively reconstructing the tribal knowledge that was lost when the original team departed.