Turn your Java monolith into cloud-native services, de-risked by AI.
A manual rewrite of a large Java monolith is a multi-year programme with a high failure rate. Paradym Next reads the code, recovers the business logic and rebuilds it as Spring Boot services with a React or Vue 3 front end on AWS or Azure: in months, with your engineers approving every stage.
Every release of the monolith is slower, riskier and more expensive than the last.
Monolithic Java applications built on old JDKs, application servers and frameworks hold critical business logic, but they resist change. One deployment carries every module, so a small fix needs a full regression cycle.
Tightly coupled code
Modules share state and database tables, so a change in one place breaks something in another.
Unsupported platforms
Old JDKs, application servers and libraries fall out of support and accumulate security vulnerabilities.
Scaling the whole to scale a part
The busiest feature can only scale by running more copies of everything, which drives up infrastructure cost.
Knowledge leaving with people
The engineers who understand the original design move on, and new hires take months to become productive.
Years of fixes and special cases sit in service classes, stored procedures and configuration files that nobody has documented. Until those rules are found and written down, every plan to split or replace the monolith rests on guesswork.
How our AI-powered modernisation engine works.
Four stages take your Java application from undocumented code to Spring Boot services with React or Vue 3 front ends on AWS or Azure. AI agents do the reading, mapping, writing and testing. Your engineers approve every stage.
Automated discovery and code parsing
Next parses your Java packages, EJBs, servlets, JSPs, XML configuration and SQL and extracts the business rules, data flows and integrations inside them. Every rule is traced to the code it came from, so nothing drifts in translation.
AI-assisted architecture blueprint
Agents map each module to clean target patterns: bounded Spring Boot services, versioned REST APIs, React, Vue 3 or Nuxt front ends, managed cloud databases and infrastructure as code. Your architects review and approve the blueprint before any code is written.
Automated refactoring
From the approved blueprint, Next generates production-ready code for Spring Boot services with React or Vue 3 front ends on AWS or Azure. It consolidates duplicated logic and removes dead code, and your engineers review every change.
AI-driven regression testing and validation
Generated test suites run the old and new systems on the same inputs, validating 99% functional equivalence before deployment. Any difference goes to your team to resolve.
What AI acceleration changes.
Compared with a standard manual migration of your Java application.
less development effort than a standard manual migration.
faster upgrade and migration cycles.
lower operational and cloud infrastructure overhead.
Proof: a private equity-backed UK software vendor took its monolithic Java application through discovery, a complete re-architecture and rebuild, with a modernised API layer and AWS infrastructure, in 10 months. Read the client example
AI does the heavy lifting. Your engineers make the decisions.
For a CTO or CIO, the risk in a rewrite is not speed but correctness. Human review is built into every stage, so AI output never reaches production unchecked.
Traced to source
Every extracted rule and generated module links back to the Java code it came from, so reviewers can check it line by line.
Human approval gates
Discovery, blueprint, code and release each need sign-off from your people. Nothing moves forward on AI output alone.
Equivalence testing
Old and new systems run the same test cases side by side, validated to 99% functional equivalence before deployment.
Governed AI
You choose which models are used and where they run, and every agent action is recorded for audit.
Schedule your AI-driven Java architecture audit today.
Start with a free assessment of one Java application: what it does, what depends on it, and what moving it to Spring Boot services with React or Vue 3 front ends on AWS or Azure would involve.