Kumaran's Mainframe Modernization Platform

Modernize Your Mainframe. Accelerate With AI

Transform legacy COBOL/CICS applications into cloud-native Angular & Spring Boot solutions, powered by Generative AI and validated by your SMEs.

Up To 60%

Reduction in migration & maintenance costs

70% Faster

Delivery vs. traditional manual migration

100%

Business logic preserved with full fidelity

Angular + Spring Boot

Cloud-native, scalable modern architecture

Overview

AI-accelerated mainframe migration to cloud-native architecture

Kumaran's Mainframe Modernization Platform accelerates the migration of legacy COBOL/CICS applications into modern, cloud-native architectures. Using a combination of automated source analysis, Neo4j knowledge graphs and Generative AI code generation, the platform migrates the full application stack - UI screens, business logic APIs and nightly batch jobs - while preserving every business rule with full fidelity.

The platform has been proven on production applications, delivering a complete Angular front-end, Spring Boot middleware and Spring Batch batch processing tier, with human-in-the-loop validation at every critical phase.

Why Modernize

Why Enterprises Are Moving Away From Legacy Mainframes

Organizations running mainframe workloads face mounting pressures that make modernization both urgent and complex:

Aging COBOL Codebase

Decades-old COBOL programs are difficult to maintain, extend or document without specialized expertise.

High Operational Costs

Mainframe licensing, MIPS charges and infrastructure costs continue to escalate year over year.

CICS Screen Complexity

BMS-based screens are tightly coupled to mainframe infrastructure with no web-equivalent counterpart.

Batch Job Dependencies

Complex JCL-COBOL batch jobs for EOD processing are fragile and hard to migrate incrementally.

Scarce Mainframe Talent

The shrinking pool of COBOL/JCL developers creates organizational and operational risks.

Risk Of Data Loss

Migrating VSAM and relational data without business-logic fidelity risks critical data integrity failures.

Our Solution

What Makes Our Migration Platform Different

Kumaran's platform addresses these challenges through a structured, AI-accelerated migration methodology:

Source Parsing & Metadata Extraction

All COBOL programs, copybooks, BMS screens and JCL streams are parsed into a rich structured metadata format, forming the single source of truth for migration.

Knowledge Graph (Neo4j)

Metadata is loaded into a Neo4j graph database capturing parent-child relationships across business groups (Account, Card, Transaction, BillPayment) and their operations.

GenAI-Driven Code Generation

Generative AI prompts translate knowledge-graph nodes into working Angular components, Spring Boot service layers and Spring Batch job implementations.

Human-In-The-Loop Validation

SME review gates before and after code generation ensure business correctness, with IDE-based compilation and runtime error correction built in.

End-To-End Deployment

Angular UI, Spring Boot APIs and Spring Batch jobs are deployed together as a unified cloud-native application with Azure SQL as the backend datastore.

How It Works

Our Proven Seven-Step Migration Methodology

The migration follows a structured 7-step process from analysis to deployment:

Step01
Source Analysis
Parse all COBOL programs, copybooks, JCL job streams and BMS screens to extract structured metadata.
Step02
Knowledge Graph
Load parsed metadata into Neo4j to capture relationships, workflows and business groups across all components.
Step03
Human-In-Loop Validation
Review groups, operations and workflows with business SMEs before committing to migration targets.
Step04
UI Generation (Angular)
Select design templates; GenAI converts BMS screens into modular Angular components with Material controls.
Step05
Backend Generation (Spring Boot)
GenAI creates Entity, Repository, Service, Controller and DTO layers from COBOL business logic.
Step06
Batch Generation (Spring Batch)
JCL-COBOL batch jobs (PostTransaction, InterestCalculation, StatementGeneration) converted with Azure SQL.
Step07
Validation & Deployment
All applications compiled, IDE-validated and deployed together for complete end-to-end online + batch flow.

Why Kumaran

Why Kumaran For Mainframe Modernization

Proven GenAI Acceleration

Generative AI prompts drive code generation across Angular, Spring Boot and Spring Batch layers, cutting delivery timelines by up to 70%.

Full Business Logic Fidelity

Every COBOL paragraph, copybook structure and JCL job is captured and migrated without loss of business rules.

Knowledge Graph-Driven Migration

Neo4j-based knowledge graph maps relationships across programs, groups and workflows, enabling smart, traceable migration decisions.

Human-In-The-Loop Quality

SME review checkpoints at every key phase ensure business correctness before code generation begins.

End-To-End Coverage

Covers online CICS flows, BMS screen UIs, nightly batch jobs and data migration, all in one unified platform.

Cloud-Native Target Architecture

Migrated applications are containerizable, CI/CD-ready and integrate with Azure SQL, Spring Batch schedulers and modern DevOps tooling.

FAQ

Frequently Asked Questions

01What mainframe languages and assets are supported?

The platform supports COBOL programs, copybooks, JCL job streams, BMS screens, VSAM datasets and DB2 datasets.

02What is the target technology stack?

Angular (UI), Spring Boot (middleware / APIs), Spring Batch (batch jobs) and Azure SQL (data store).

03How is business logic preserved during migration?

COBOL programs are parsed at the paragraph level into a Neo4j knowledge graph. GenAI then reconstructs equivalent Java / TypeScript logic with SME review gates.

04Is human oversight built into the process?

Yes. Human-in-the-loop validation occurs after metadata extraction, before code generation and during IDE compilation, ensuring accuracy at every step.

05How are nightly batch jobs handled?

JCL-COBOL batch flows are migrated to Spring Batch with Azure SQL as the datastore.

06What does the generated Angular application look like?

Each group generates a modular Angular workspace with component.html, component.ts, model.ts and service.ts files mapped from BMS screens and CICS logic.

Our Products

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IDPAI · Document Intelligence