Datagentis
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Datagentis, orchestrator of people, AI tools and systems
DATAGENTIS

An orchestrator with a database and aknowledge base

Methodology, parallelism and centralised knowledge

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Why development AI doesn't scale on its own

More code, a longer review queue

It moves; it doesn't disappear.

The same thing done two ways

Both reach production.

What is learned never returns to the project

The next one suffers it again.

Nobody knows who wrote what

An audit has no answer.

Three modules

Professionals deciding what needs to be done with Agentagile

Agentagile

The methodology: an Agile adapted to hybrid work between people and AI systems.

  • Who does what
  • How the work is written
  • How it is validated
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An engineer with development instances working on data platforms

Skills Data

AI development instances receive the skills of each data platform.

  • Talend, Databricks, Snowflake
  • Microsoft Fabric, dbt and MuleSoft
  • Cost, health and usage monitored
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A team migrating licensed systems with the Migration module

Migration

Understands what you have and moves it wherever you want.

  • Your undocumented code
  • Your licensed BI, ERP, CRM and ITSM systems
  • Your licences, reduced to a minimum
View Migration

Connects to your systems

  • GitHub
  • GitLab
  • Jira
  • Linear
  • Teams
  • SharePoint
  • Microsoft 365
  • Power BI
  • Databricks
  • Snowflake
  • Talend
  • Microsoft Fabric

Datagentis is the systemthat makes it work

Datagentis Management Center, Performance: efficiency multiplier and pull requests merged per week

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