How it works

Parse. Transform. Modern app.

Modernization at Vivify is model-driven and 90%+ automated. Instead of rewriting your system by hand, we model what it does and generate the modern equivalent, carrying your business logic across by construction and proving the result behaves like the original.

Legacy source Parse Model Transform Modern TypeScript / React
Why it comes out correct

Three mechanisms, not one promise.

Roughly 74% of legacy modernization projects fail, and they fail on the same question: how does anyone know the new system still does what the old one did. We answer it three ways, and they are independent of each other.

By construction

Model-driven development

Your application is parsed into a structured model of its screens, data and business rules, and the modern system is generated from that model. The logic is carried across structurally. Nobody re-types it, and no language model infers what it was meant to do, so it cannot be quietly mistranslated.

By comparison

Side-by-side automated testing

The modernized system and the original are run against the same inputs and their results compared automatically. Automation libraries are built from your own test plans, so the comparison covers the behavior your business actually depends on rather than a generic suite.

By rule

Business rules held in the model

Because the model captures the business rules themselves, they give a second, independent way to verify the result. This works here for a specific reason: the rules are parsed out of the source deterministically, not written down by a model reading the code, so checking against them is not circular.

Build it so it cannot be wrong, then prove it is not wrong, twice over.

Parse your application into a model

Code Analyzer ingests your legacy source: screens, navigation, data access, and embedded business rules. From that we build a complete, structured model of how the application actually behaves. This is automated analysis, not a team reading code line by line.

  • Full inventory of screens, components, and data flows
  • Business logic captured as a model, not as notes
  • Nothing is silently dropped: gaps are surfaced, not guessed

Transform the model to a modern architecture

Code Transformer maps the model onto a modern TypeScript / React architecture and generates the new application automatically. 90%+ of the work is automated. For the rest, the custom pieces no generator can produce, our engineers work with AI assistance to move faster. Your business logic travels through the model. Where the old code is incomplete or unclear, AI helps fill the gaps, and we verify the result against the original system.

  • Business behavior preserved by construction
  • AI helps where the old code is unclear; results verified against the original
  • Output is conventional, standard code with no proprietary runtime
  • Consistent patterns across the whole application

Deliver a modern app you own

You receive a responsive, maintainable application your own team can read, run, and extend on current frameworks. Because the output is standard code with no lock-in, you are free to take it anywhere, including hosting and maintaining it entirely yourselves.

  • Responsive across web, tablet, and mobile
  • Clean code your engineers can own from day one
  • Automated test coverage built alongside the transformation
  • Portable, with no dependency on us to keep it running

Where AI fits, and where it does not.

The transformation itself is model-driven, not generated by a language model. Your business logic is parsed into a structured model and carried across deterministically, which is exactly why it cannot be quietly mistranslated. That distinction matters: a language model reading legacy code is inferring what it was meant to do, and a confident wrong inference is the failure mode that sinks modernization projects.

We use AI where it genuinely helps. The custom pieces no generator can produce, building test coverage quickly, and filling gaps where the original code is incomplete or unclear. Every one of those results is verified against the original system before it ships.

Included in the engagement

Test automation is part of the modernization.

A modernized system has to prove it behaves like the original. Share your test plans, or even outlines of them, and we build automation libraries for the tests that exist today and prepare for the ones that will exist tomorrow. AI helps us build that coverage quickly and keep it thorough.

  • Automation libraries built from your existing test plans
  • Regression coverage that verifies old and new behave the same
  • A test foundation your team keeps extending after handover
Why this approach

Built to remove the risk from modernization.

Lower risk than a rewrite

A hand rewrite re-implements years of business logic from scratch and hopes nothing is lost. Model-driven transformation carries that logic through automatically, so behavior is preserved instead of reconstructed.

Faster, more predictable

Automating the bulk of the conversion compresses timelines from years to a fraction of that, with far less variance, because you are not waiting on someone to hand-code every screen.

No vendor lock-in

The deliverable is standard TypeScript / React, or Vue and similar frameworks where your standards call for it. There is no Vivify runtime sitting under your application and no license you must keep paying to run your own software.

Proven at enterprise scale

This is not a lab technique. The same approach has modernized systems for major enterprises for more than 15 years. See the organizations we have worked with.

The best way to understand it is to see it on your code.

Send us a representative module from your legacy application. We will run it through the process and show you the modern, standard code you would own.