Untangle your legacy monolith
We help teams identify sources of tech debt in their legacy monoliths, diagnose the architectural issues causing it, and resolve them using AI.
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We help teams identify sources of tech debt in their legacy monoliths, diagnose the architectural issues causing it, and resolve them using AI.
Reduction in migration timelines
Gartner
Improvement in code scalability and feature release speed
IEEE
Saved in application maintenance and running costs
IBM
We know that the accumulation of tech debt from outdated systems slows feature delivery and creates costly bottlenecks for your business. Our tool simplifies modernization with a three-step process. It helps transition your application from a deeply tangled monolith to a scalable, maintainable architecture.
Axal analyzes dependencies and community structures within the monolith, identifying tightly coupled domains and other such tech debt. This provides clear visibility into the system's architecture both before and during modernization.
Decrease the risk of extended timelines and high costs by automating the identification and prioritization of refactoring opportunities based on your goals, providing teams with clear, actionable insights to accelerate modernization.
We break down high-priority issues into small, manageable pieces. Using advanced AI, Axal then works with your team to address each issue, ensuring that no breaking changes are made to the rest of the codebase during the process.
We reduce modernization risks by helping set expectations and minimizing time and resource usage.
No endless meetings mapping architecture—we identify critical anti-patterns and help you prioritize issues aligned with your goals.
Keep track of all issues seamlessly and integrate with your Jira or Linear for task delegation.
We keep track of issues assigned to you and use AI to help you fix them!
