Application & data modernization

Modernize software.
Understand what changes.

modernAIze reconstructs legacy applications and data systems, helps your team review their meaning, and generates a target project from an approved design.

Understand before modernization

Three views of the system, from its first briefing to the detail that informs the change.

Briefing: Order Management system and its program relationships
Start with a grounded view of the system: its purpose, its program structure and the relationships that shape the work ahead.

How modernAIze works

A clear decision at each stage.

The work moves from evidence to action in four connected stages: reconstruct the source, understand what it means, design the target with your team, then generate and validate the result.

01

Reconstruct

Gather the structure, operations and dependencies present in the supported source assets, preserving the evidence needed for the next decisions.

02

Understand

Review the inferred meaning with the source evidence beside it, so the people who know the system can confirm what matters.

03

Design

Shape and approve the target architecture, making the choices about behavior, scope and change visible before generation begins.

04

Generate & validate

Produce the target project and check it against the agreed design and acceptance criteria before it becomes the next system to maintain.

See modernAIze in detail

Modernization paths

One product. Multiple modernization paths.

Source technologies meet the modernAIze semantic model before continuing into target technologies and platforms. Each route depends on the available connector, target adapter and supplied system.

Source family

Application

COBOL
IBMwebMethods

Source family

Data & analytics

IBMDataStage
SAPSAP BW
InformaticaPowerCenter
TeradataTeradata
QlikQlik
SASSAS
Trazadera modernAIze

Semantic
model

Deterministic parsing

AI enrichment

Custom & Standard Blueprints

Destination catalogue

Target technologies
& platforms

SpringJava / Spring
dbtdbt
SnowflakeSnowflake
Google CloudBigQuery
DatabricksDatabricks
AWSRedshift

Also built by Trazadera

Software for the data around your systems.

Master data

Golden

Bring records from different systems into a governed master. Resolve conflicts, retain their origins and keep the result maintainable.

Explore Golden

Trazadera

Careful engineering.
Direct conversation.

We build software for complex problems in applications and data. We work with the people responsible for those systems to understand the constraints and decide what is worth changing.

Tell us about the system, the data or the change you are considering. We can start with one representative example.

Contact Trazadera

Customer results

Work measured in operating scope.

Grupo Piñero · Golden

8M+ records. One governed customer model.

Customer data from four source channels reconciled while retaining provenance, consent and language.

View customer result

IT Travel Services · Golden

5M+ traveller records. 250K destinations.

Two governed master domains replace repeated identity and location resolution in downstream analysis.

View customer result