Datagentis
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WE HAVE AGENTISED OUR SERVICES AND SOLUTIONS

Data and software engineering, agentisedScale for real, with governance

With our Datagentis framework and Agentagile methodology, we orchestrate your AI development platforms, so that they work in parallel, unattended and governed

Request a demoHow it works

Scaling still costs people, and disconnected AI creates new problems

  • AI cost without return

    The AI bill goes up. What gets delivered does not.

  • New bottlenecks

    More code, a longer review queue.

  • Everyone their own way

    The same thing, done two ways. And both in production.

  • What is learned does not come back

    It stays with whoever did it, not with the project.

  • Scarce profiles

    And turnover takes the knowledge away.

  • No traceability

    Nobody knows what a person wrote and what a model wrote.

What you get. Agentised services that really scale

Two professionals reviewing the cost of a delivery

COST

We lower the cost of every delivery

  • More productivity, lower cost
  • Less rework: nothing moves forward without validation
  • Testing, built into the cycle
Your budget goes twice as far
Data engineer working with several instances in parallel

CAPACITY

Multiply capacity without hiring

  • Multiple instances in parallel, orchestrated and unattended
  • We absorb peaks immediately
  • What did not fit now makes it into the plan
Scale without growing headcount
Team reviewing the project's knowledge

CONTINUITY AND COMPLIANCE

The knowledge stays in-house

  • Methodology and knowledge built into the system
  • On your infrastructure and with your AI: it meets your policies
  • Data and AI governance by design
Turnover does not stop the service

Several engineers with AIare not a team with AI

Without orchestration, every piece of development adds cost and disorder.

With orchestration, it adds capacity and consistency.

How it works

The same service,at a different scale.Orchestrated, traced and governed

100% compliance: it runs on your infrastructure, interoperates with your systems and uses your AI providers. The knowledge, data and metadata we generate reside in a database that you own.

WHERE YOUR TEAM WORKS · WITHOUT CHANGING TOOLS

PERSONAI

Management

+

DEFINES WITH YOU · VALIDATES WHAT IS DELIVERED

  • Claude Cowork
  • ChatGPT Work
  • Gemini Enterprise

Development

×N

MULTIPLE INSTANCES · IN PARALLEL AND UNATTENDED

  • Claude Code
  • Cursor
  • Codex
  • Windsurf
  • VS Code

Observability

+

STATUS · TRACES · KNOWLEDGE

  • Management Center
  • Conversational Teams agent
AGENTAGILE MCP
Datagentis

ORCHESTRATOR

Methodology

Contract → execution → validation, with immutable acceptance criteria

Development queue

With dependencies and blockers: each development instance takes only work that can be executed, and never the same work as another

Testing and QA queue

Kept separate. Whoever executes does not validate their own work

Roadmap

Initiatives, phases and tasks in a database, not in documents that go stale

Knowledge

Standards, decisions, meetings and documentation, for your instances and for your team

Data platform skills

Talend · Databricks · Snowflake · Microsoft Fabric · dbt · MuleSoft

Data governance · cross-cutting

Technical lineage and metadata of the generated code, published in your governance catalogue

AI governance · observability

Telemetry from the whole system and from the AI providers involved: audit, usage, tokens, cost and traces

Agentagile database · yours

It resides on your infrastructure and belongs to you: roadmap, contracts, decisions, traces and project knowledge

CONNECTS TO YOUR SYSTEMS

Code, CI/CD and management

  • GitHub
  • GitLab
  • Azure DevOps
  • Jira
  • Linear

Data platforms

  • Talend
  • Databricks
  • Snowflake
  • Fabric
  • dbt
  • MuleSoft

Governance catalogue

  • Informatica
  • Collibra
  • Talend

Languages

  • Python
  • JavaScript
  • TypeScript
  • Java
  • C# / .NET
  • Go
  • Rust
  • C / C++
  • PHP
  • Ruby
  • SQL

Models

  • GPT
  • Claude
  • Gemini
  • Llama
  • Mistral
  • DeepSeek

You do not scale people.You scale deliveries

And what never fitted now makes it into the plan:

technical debt, legacy and migrations.

It is not just speed that changes: it is scope.

Where the leap shows

Measured on your code and your data.

LEGACY MIGRATION

×4

industrialised migrations: COBOL, PowerCenter, DataStage, SSIS, etc.

DATA ENGINEERING

×2

ETL/ELT pipelines, warehouse and lakehouse, same team

SOFTWARE ENGINEERING

×2

applications, APIs, integrations and enhancements, same team

ADVANCED ANALYTICS

from months to weeks

continuous, conversational delivery: the question replaces the report

DATA GOVERNANCE

from years to months

quality rules, glossary, metadata and lineage of the generated code

How we work with you

Two professionals discussing the roadmap

We advise you

Data, governance and AI diagnosis and a phased roadmap. Delivered agentically.

Where to start
Professional delivering an agentised service

We do it for you

We deliver agentically in the engagement model you already buy: technical assistance, fixed-scope project or managed service.

You receive results
Team setting up its Technical Office

And if you like it…

We help you set up your Technical Office so that your teams and suppliers can run it.

Your Technical Office

In every case, the operating data of your services and projects is yours and resides on your infrastructure.

YOUR AI

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

How we start. On a service you already have

  1. 1We select a service with you

    We analyse its cost, the productivity gain and the saving

  2. 2We run it in parallel

    A defined scope, alongside your traditional service

  3. 3We compare

    Cost, timeline and quality, with your data