Data Extraction
AI agents map and extract data from legacy databases, mainframes, and proprietary formats automatically.
System Transformation
Migrate from outdated systems to modern cloud architectures without disrupting operations. AI agents analyze code and dependencies, plan each migration phase, and validate every release.
System Transformation · 5 agents
A Modernization Supervisor sequences five agents — Code Analyzer, Dependency Mapper, Data Extractor, Migration Planner and Test Validator — from understanding the old system to validating the new one.
Capabilities
End-to-end system transformation with near-zero downtime.
AI agents map and extract data from legacy databases, mainframes, and proprietary formats automatically.
Analyze existing codebase, identify dependencies, and generate migration roadmaps with AI precision.
Automate testing, validation, and deployment processes during migration with intelligent agents.
Seamlessly migrate to AWS, Azure, or GCP with optimized architecture recommendations.
Phased approach allows continuous operation while gradually modernizing system components.
AI-powered regression and functional testing checks that modernized components behave like the systems they replace.
Input Legacy code & data Output Validated, migrated components
Outcomes
70% faster application performance
Reduce infrastructure costs by up to 40%
Near-zero downtime during migration
Improved security and compliance
Scalable cloud-native architecture
Future-proof technology stack
Modernization starts from CortexIQ's multi-level dependency and change-impact maps of your PL/I and VB6 code.
Success Stories
>10M lines of PL/I code analyzed
Industries
Core banking platforms and enterprise IT estates built on decades of legacy code.
Bring a slice of your PL/I or VB6 estate. We'll show you how CortexIQ-powered agents map its dependencies and plan the path to the cloud.