Datagentis
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MIGRATIONS

Understand what you haveand move it wherever you want

×4 in industrialised migrations: COBOL, PowerCenter, DataStage, SSIS

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What hurts

Millions a year in licences

A good part of it goes on what is built around the core.

Every change depends on scarce engineers

AI multiplies the code, not the team that reviews and audits it.

Migrating was expensive because nobody understood what was there

COBOL, integration processes from fifteen years ago, Oracle forms.

A mainframe that costs more every year

Its cost is spread over fewer and fewer applications.

What you get

Team deciding what goes and what stays of a system

What goes and what stays

  • What is bespoke is rebuilt
  • What is standard stays and is used through its API
  • What is unused is switched off
How it works
Engineer reviewing the documentation from a scan

Three sets of documentation

  • Functional
  • Technical
  • Agentagile initiative
How it works
Team comparing sources against a single model

One canonical model

  • Every source arrives at the same model
  • Code and system assets
  • Migration attributes
How it works

Seven steps,from scanning to switching off

  1. 1Scan
  2. 2Understand
  3. 3Decide
  4. 4Reintroduce
  5. 5Rebuild
  6. 6Guarantee
  7. 7Switch off

It connects to your systems

  • Java/Spring
  • Python/Databricks
  • COBOL
  • Power BI
  • Tableau
  • Qlik
  • MicroStrategy
  • SAP BusinessObjects · SAP BW · SAP ABAP
  • IBM Cognos · DataStage
  • PowerCenter · IDMC
  • SSIS
  • Oracle Data Integrator · Oracle EBS
  • Salesforce
  • Dynamics 365
  • ServiceNow
  • Talend Studio
  • SAP BTP
  • SAS
How the platform works

Where the leap shows

LEGACY

×4

industrialised migrations

Datagentis doesn't build agents

The AI tools are the ones you already have under contract; the platform gives them a role.

Corporate AIYOUR AI

  • Claude
  • Cowork
  • ChatGPT
  • Copilot
  • Claude Code
  • Cursor
  • Codex
  • Windsurf