AGENTIC DATA & SOFTWARE ENGINEERING

Software engineering and data 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 demo How 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

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

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

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

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.

Datagentis doesn't build agents

You use the AI you already have under contract. Datagentis turns it into a team that works with method.

Corporate AIYOUR AI

Claude
Cowork
ChatGPT
Copilot
Claude Code
Cursor
Codex
Windsurf

A role for every AI
Each tool knows its part: analyse, build, test or validate.
Orchestrated
Several AIs work at once, with tasks shared out and no overlap.
Connected
To your code, your data, your platforms and your tickets.
With its own knowledge
A base per client, project and technology that grows with every delivery.
With method
Defined once, applied every time, and learns from every mistake.
Measured
What each one did, what it cost and whether it passed validation.

How we start. On a service you already have

1We select a service with you
We analyse its cost, the productivity gain and the saving
2We run it in parallel
A defined scope, alongside your traditional service
3We compare
Cost, timeline and quality, with your data