What is Axal?

Axal is a state-of-the-art AI-driven platform designed to modernize enterprise legacy systems. By harnessing the power of machine learning, it automatically transforms monolithic applications into agile microservices architecture while maintaining system integrity. The platform employs advanced algorithms to map code dependencies, identify architectural bottlenecks, and orchestrate refactoring priorities based on business impact.

Key Features:

• Smart Code Analysis: Leverages AI to analyze both static and runtime patterns, creating comprehensive domain maps and architectural visualizations for enhanced understanding.

• Intelligent Debt Resolution: Identifies and prioritizes technical debt, including circular dependencies and domain violations, aligned with business KPIs.

• Autonomous Refactoring: Employs machine learning to automatically resolve architectural issues and restructure code, with built-in testing validation.

• Progressive Modernization: Implements the industry-standard strangler pattern, strategically identifying components for incremental modernization.

• Real-time Code Evolution: Continuously adapts to code changes, eliminating manual architecture maintenance overhead.

• Advanced Analytics Dashboard: Provides deep insights into code relationships and dependencies, enabling data-driven modernization decisions.

Use Cases:

• Enterprise Modernization: Seamlessly transform large-scale Java and C# monoliths into modern, cloud-ready microservices architecture.

• Technical Debt Management: Empower development teams with AI-driven insights to systematically reduce architectural complexity.

• Accelerated Development: Automate architectural improvements to focus resources on innovation and feature development.

• Architecture Optimization: Enhance system scalability and maintainability through AI-guided domain separation and restructuring.

• Risk-Free Transformation: Ensure business continuity with comprehensive testing protocols for all AI-implemented changes.