Moderniza.
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AI-powered code modernization

Modernize legacy codewith confidence.

An AI platform that analyses, converts, verifies and deploys legacy code — to AWS or Azure, in 30 to 90 minutes.

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/ 01 — Why

The legacy crisis,
in five numbers.

Tech debt isn’t an engineering anecdote. It’s a balance-sheet item that grows every quarter — and quietly blocks every cloud, AI and mobile programme that depends on the code beneath.

These are the five numbers that show up on every modernization slide we see:

  • 01

    $1.52T

    Global technical debt, growing every year.

    Most of it sits inside legacy systems nobody wants to touch — and nobody can afford to leave alone.

  • 02

    75%

    Of enterprise apps still run on legacy.

    Cloud, AI, and mobile roadmaps stall on the same wall: code older than the people maintaining it.

  • 03

    12–24 mo

    Average modernization project, often abandoned.

    Manual rewrites lose institutional knowledge and ship late. Lift-and-shift just hides the problem in a cloud.

  • 04

    $200–500

    Per function point, paid by hand.

    Manual modernization is slow, error-prone, and burns the senior engineers you need on real work.

  • 05

    1 in 2

    Old AI translations don’t even compile.

    Naive LLM rewrites drift on names, signatures and imports — they look right, then break at the build.

/ 02 — What

One platform.
Four verbs.

Moderniza doesn’t just translate code — it understands it, secures it, verifies it and deploys it. Four verbs share one workspace, one stream and one bar. Tilt the cards to feel the shape.

  • 01

    Analyse

    Understand the codebase, deeply.

    • Multi-language semantic parsing across the stack
    • Functions, classes, APIs, SQL, call-graph, dependencies
    • Architecture pattern detection — MVC, REST, monolith
    • A rich blueprint that becomes the AI’s source of truth
  • 02

    Convert

    Rewrite — intelligently, not literally.

    • Contract-first: names & paths are declared before code
    • Adaptive batching — complex files get dedicated AI calls
    • Stitch pass fixes imports, calls, and remaining stubs
    • Output is built around your target stack, not pasted into it
  • 03

    Verify

    Prove it behaves like the original.

    • Auto-generated test cases derived from the blueprint
    • Sandboxed execution against the converted app
    • Up to 3 auto-fix loops to reach >95% pass rate
    • Security checks ensure old vulnerabilities don’t carry over
  • 04

    Deploy

    Ship to production with one click.

    • AWS (EC2 / ECS / EKS) and Azure (AKS), out of the box
    • Auto-generated Docker, Terraform and CI pipelines
    • GitLab integration with first-commit handover
    • A live URL — not a zip file someone has to figure out
/ 03 — How

The six-phase pipeline. In plain English.

Every conversion runs through the same six phases. Each phase has a streamed artefact, a date, and an automated gate. You always know what’s done, what’s next, and what’s blocked.
  1. P0

    Contract

    Pre-flight: every file path, class and method signature is declared before a line is written.

  2. P1

    Skeleton

    A compilable project structure is generated to match the contract — empty bodies, real shape.

  3. P2

    Test cases

    Behavioural tests are derived from the analysis. No runtime needed; the spec writes itself.

  4. P3

    Convert

    Code is converted layer-by-layer with adaptive complexity batching. Difficult files get more attention.

  5. P4

    Stitch

    Imports, callsites and stub fills are reconciled across the project. The build goes green.

  6. P5

    Verify

    Tests run in a sandbox. Failures trigger up-to-3 automated fix loops until parity is proven.

/ 04 — Proof

Manual. Old AI. Moderniza. The same project, three ways.

Manual rewrite

20-file project2–4 weeks
Compiles without fix≈ 50%
Functional parity≈ 65%

Old AI translators

20-file project20–40 min
Compiles without fix≈ 60%
Functional parity≈ 55%

Moderniza

ours
20-file project8–15 min
Compiles without fix> 98%
Functional parity> 95% (verified)
Sources: internal benchmarks across 200+ conversions; baseline metrics from CISQ 2022 industry estimates. Naive AI baseline taken from public translator tools.
/ 05 — Journey

Six steps from a legacy zip to a live URL.

  • 01

    Upload

    GitHub URL, ZIP, or single file.

  • 02

    Analyse

    Blueprint + security findings.

  • 03

    Choose

    Target stack, validated by AI.

  • 04

    Convert

    Real-time stream, phase-by-phase.

  • 05

    Review

    Code, tests, diagnostics, diffs.

  • 06

    Deploy

    AWS or Azure — one click. Live URL.

Total time, end-to-end: 30 – 90 minutes.
/ 06 — Need

A great project
needs both sides showing up.

Here’s what we ask of you on day one — and what you can ask of us in return. No fine print, no hidden assumptions, no “you should have known.”

From you4 things
  • 01

    A repo or a zip

    GitHub URL, archive, or even a single file. We start with what you have.

  • 02

    A target stack — or a question

    We’ll guide you through Python / Java / Node / .NET, React / Vue, Postgres / Mongo.

  • 03

    A 30-minute window

    One stakeholder, one screen-share, one decision. That’s the whole demo.

  • 04

    Permission to ship

    When the tests are green and the build is signed, we’ll want to deploy. You decide where.

From us4 things
  • 01

    A blueprint, before any code

    Every name and path declared up front. No drift, no surprises.

  • 02

    Tests written before the rewrite

    We prove parity, not just produce output.

  • 03

    A live stream of every phase

    You see what’s happening — and what isn’t — in real time.

  • 04

    A bundle, not a black box

    Source, IaC, Dockerfiles, docs — yours forever, vendor-locked to nobody.

/ 07 — Built for

Built for the people who own the roadmap.

  • / 01

    Enterprise IT

    Modernise legacy monoliths to microservices.

  • / 02

    CTOs & Tech Leaders

    Accelerate digital-transformation roadmaps.

  • / 03

    Software Architects

    Evaluate and execute migrations end-to-end.

  • / 04

    DevOps Engineers

    Auto-generate cloud-native deployment pipelines.

  • / 05

    Consulting Firms

    Deliver modernization at scale, with proof.

  • / 06

    Startups

    Pivot the stack without a year-long rewrite.

/ 08 — Why we win

Six things nobody else does in one workspace.

  • / 01

    End-to-end automation

    From upload to a deployed app — no manual steps in between.

  • / 02

    Contract-first methodology

    Eliminates broken imports, drifted method names, half-finished files.

  • / 03

    Behavioural verification

    Test-proven parity, not just translation that “looks right.”

  • / 04

    Security-embedded

    Vulnerabilities flagged before conversion and not replicated after.

  • / 05

    Multi-cloud out of the box

    AWS & Azure, with the IaC generated for you.

  • / 06

    Real-time visibility

    Watch every phase stream, live — no ‘trust me’ black box.

“

It doesn’t just translate code — it understands it, secures it, verifies it, and deploys it.

“

From legacy zip to a live URL — in 30 to 90 minutes, end-to-end.

“

Compiles > 98% of the time. Verified parity > 95%.

0%

of Moderniza builds compile without a manual fix

0%+

verified functional parity, against original tests

0 min

median end-to-end time, upload to deployed app

0+

conversions completed across enterprise pilots

/ 09 — Next

Bring a repo.
Leave with a build.
In 30 minutes.

Drop us a GitHub URL or a zip. We’ll run a live blueprint, walk you through every phase, and ship a deployed sandbox before the call ends.

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Open · Q3 / Q4 2026 capacity·Reply within 1 business day·NDA on request