Overview
The framework is designed to cut down migration timelines, reduce human error, and ensure business continuity — helping teams decommission costly legacy systems and move confidently to modern cloud-native platforms.
How It Works
- Legacy System Analysis Use AI to analyze source code (e.g., COBOL, .NET, VB, PL/SQL) and database structures. Identify services, business rules, dependencies, and coupling.
- Migration Planning Recommend modular decomposition or full-stack transformation paths. Generate target architecture aligned with cloud-native patterns.
- Modern Code and Data Generation Auto-generate code in Python/Java/SQL based on mapped logic. Propose optimized database schema and data pipelines.
- Automated Testing & Validation Generate functional and regression test cases. Compare legacy vs modern system behavior to ensure alignment.
- Deployment Support Package results for deployment on AWS (e.g., Lambda, EC2, RDS, Aurora). Support for CI/CD integration and DevSecOps workflows.
Deployment Options
- Engagement-Based with Delivered Accelerators — We guide your team or deliver modernization with our tooling.
- In-Your-Cloud — Run the framework in your own AWS account for full data security.
- Modular Tool Licensing — Option to license components (code analysis, migration planner, test generator) for internal use.
Target Customers.
- Enterprises running legacy platforms (on-prem or cloud).
- CIOs and Transformation Leads.
- Banks, Insurers, Government Agencies, and Enterprises in regulated sectors.
- Migration projects involving COBOL, VB, .NET, Oracle, SQL Server, etc.
Use Cases
- Application modernization for cloud migration.
- Legacy database schema transformation and optimization.
- Decommissioning of expensive mainframes or monolith systems.
- Accelerated move to microservices or serverless architectures.
- Ensuring backward compatibility and compliance during transformation
Why Choose Us
- AI-Driven Speed & Accuracy — Cuts time and reduces errors compared to manual refactoring or rewrite.
- End-to-End Coverage — From legacy analysis to testing, all in one framework.
- Experienced Team — Deep expertise in legacy modernization, cloud-native development, and enterprise data.
- Reduced Risk, Improved Quality — Automated test generation ensures correctness and reliability.
- Proven Results — Successfully used in multiple enterprise migrations across industries.
Highlights
- AI-Based Code and Schema Understanding — Automatically parses legacy source code and data models to identify components, dependencies, and risks. Smart Migration Planning — Recommends optimal paths to modern languages (Python, Java, SQL) and cloud-compatible architectures.
- Automated Test Case Generation — Produces functional and regression tests to validate migrated systems with high confidence. Data Migration Mapping — Intelligently maps legacy database schemas to modern equivalents and validates consistency.
- Modular Execution — Support for full-stack app + data migration or phased modernization by component. Error Reduction & Quality Control — Built-in checks, test scaffolding, and feedback loops ensure smoother transitions. Cloud-Ready Output — Output is optimized for modern environments like AWS, Kubernetes, or serverless platforms.
Details
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Pricing
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