Move MultiValue UniBasic applications to cloud-native services, de-risked by AI.
UniVerse and UniData systems run distribution, healthcare and finance operations, often with little documentation. Paradym Next reads the UniBasic and dictionaries, recovers the business rules and the data model, and rebuilds them as cloud services with React or Vue 3 front ends: in months, with your engineers approving every stage.
Your MultiValue system is reliable, but very few people can still change it.
The MultiValue data model is efficient but unfamiliar to most engineers. Integrating it with modern platforms and analytics takes specialist work.
Rare skills
UniBasic developers are scarce and their knowledge of your system is rarely written down.
Unfamiliar data model
Multivalued fields and dictionaries do not map simply to relational or document databases.
Integration effort
Connecting to modern applications and reporting tools needs custom bridges.
Business logic is spread across programs, dictionary I-descriptors and PROC scripts written over decades. Recovering it, along with the real structure of the data, is the only safe basis for a rebuild.
How our AI-powered modernisation engine works.
Four stages take your UniVerse application from undocumented code to cloud-native services with React or Vue 3 front ends and modern databases. AI agents do the reading, mapping, writing and testing. Your engineers approve every stage.
Automated discovery and code parsing
Next parses your UniBasic programs, dictionaries, PROC and paragraph scripts, and MultiValue files 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: cloud services, relational or document data models, REST APIs and React, Vue 3 or Nuxt user interfaces. Your architects review and approve the blueprint before any code is written.
Automated refactoring
From the approved blueprint, Next generates production-ready code for cloud-native services with React or Vue 3 front ends and modern databases. 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 UniVerse application.
less development effort than a standard manual migration.
faster upgrade and migration cycles.
lower operational and cloud infrastructure overhead.
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 UniVerse 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 UniVerse architecture audit today.
Start with a free assessment of one UniVerse application: what it does, what depends on it, and what moving it to cloud-native services with React or Vue 3 front ends and modern databases would involve.