👋 Webinar | An AI transformation compliant with the AI Act · Tuesday 17/11 at 9:15 AM · Register now →

Your Python applications, APIs, and data tools

Django and FastAPI back-ends, optimisation algorithms, data processing and AI: our engineers develop your Python projects right up to their deployment in production.
Over 120 developers practise Python or Django
Over 40 client projects developed in Python
From web back-end to AI, in the same team
Discuss my Python projectDiscover 3 achievements
FastAPI API open in a code editor
+800 organisations entrust us with their tech and AI projects
[why python]

Why choose Python?

Python is one of the most widely used languages in the world, and the reference language for data and artificial intelligence. With Django and FastAPI, it also supports robust web back-ends: a single language, from data processing to API.
01

The language of data and AI

pandas, scikit-learn, PyTorch, Large Language Model SDKs: the entire data and AI ecosystem is primarily practised in Python.
02

Django and FastAPI for the web

Django provides a complete application with its administration interface; FastAPI builds fast, typed, and automatically documented APIs.
03

Readable code

Python's syntax is clear and concise: the code is easy to reread, both by your developers and by your data scientists.
04

A library for every need

Scientific computation, optimisation, image processing, automation: hundreds of thousands of open source packages avoid reinventing the wheel.
[Our Expertise]

What we develop in Python

New project or application in production, we intervene at every stage of your software's lifecycle.
Back-ends and API

Back-ends and API

The APIs for your web and mobile applications with Django or FastAPI: authentication, background processing, connections to your tools.
Optimisation algorithms

Optimisation algorithms

Team scheduling, resource allocation, routing: engines that calculate in a few seconds what used to take hours.
Data processing and AI

Data processing and AI

Data pipelines, predictive models, assistants based on Large Language Models, connected to your data.
Automation and integrations

Automation and integrations

Scripts and services that connect your software and eliminate manual re-entry, with production supervision.
[Our support]

Our method for developing your Python project

  • Discovery
    Step 01

    Project scoping

    We start with your processes, your data and your users to define the scope, the architecture and the components to develop.
  • Design
    Step 02

    Interface design

    Our designers create the application screens on Figma, validated with your teams before development.
  • Development
    Step 03

    Iterative development

    Each feature is delivered to a staging environment where you test it continuously, using your real data where possible.
  • Go-live
    Step 04

    Go-live

    Automated tests and continuous deployment: the application goes into production on the chosen hosting, without manual server manipulation.
  • Enhancements
    Step 05

    Maintenance and enhancements

    Python and dependency updates, performance and model monitoring, new features: the same team remains by your side.
01/05
[Projects]

Some Python realisations

Industrial logistics
Groupe Blondel

Daily planning for parcel logistics at Chantiers de l'Atlantique

The Blondel Group transports parcels and parts to the Chantiers de l'Atlantique site in Saint-Nazaire, where lifting equipment and teams share limited time slots. Galadrim developed the management tool, with its back-end written in Python using FastAPI: a Machine Learning model anticipates the volume of parcels to be processed, a combinatorial optimisation algorithm allocates teams in compliance with the group's business rules. Each employee receives their schedule in the morning.
200people scheduled daily
10simultaneous projects
Groupe Blondel Logo
Observability
Datadog

Supervising Kubernetes container networks from Datadog

Datadog, a cloud infrastructure monitoring platform, wanted to integrate Calico's metrics into its tool. Calico is the open-source component that manages routing and network security policies for Kubernetes containers. Galadrim developed the collection agent in Python and its test coverage, in English with the Datadog teams. The integration then joined the platform's main codebase.
10k+users of the integration
4weeks of development
Datadog Logo
Agricultural research
Secobra

Query agricultural databases to determine the best varieties

Secobra Recherches conducts its varietal selection work on large volumes of agricultural, genetic, meteorological and commercial data. Galadrim delivered the conversational interface that queries these databases, with a Python back-end: a text-to-SQL engine covers internal data, a documentary engine exploits public sources, and the tool directly provides answers, tables, graphs and exports.
+10 000queries per month
30 secresponse time
Secobra Logo
They talk about us
[Why Galadrim?]

Why entrust us with your Python project

Engineers from the best schools

Engineers from the best schools

Our engineers are graduates of Polytechnique, CentraleSupélec, Centrale Lyon or Centrale Lille. More than 120 of them use Python.
From web to AI in the same team

From web to AI in the same team

Back-end developers, Data Engineers, AI Engineers, designers and Product Managers: your project is designed, developed and hosted by the same team.
Reviewed, tested, and documented code

Reviewed, tested, and documented code

Every modification undergoes a review and automated tests. Your application remains readable for any team that might take it over tomorrow.
The code belongs to you, the team remains available

The code belongs to you, the team remains available

You own the code and you choose its hosting. Galadrim remains available for enhancements, with 180 employees and offices in Paris, Nantes, and Lyon.
[Our team]

The engineers who develop your Python projects

Quentin Massonnat
Quentin Massonnat AI Team Lead
Lead Developer for the Secobra Recherches assistant, he designs autonomous agents and large-scale Large Language Model generation for Showroomprivé or OGF.
Benjamin Drighès
Benjamin Drighès CTO Data & AI
A former advisor at the Financial Markets Authority, he has an inside understanding of organisations where every analysis must remain justifiable, and defines the standards for our AI teams.
Félix Monnier
Félix Monnier AI Team Lead
Builds the document search engines that power our assistants, and measures the quality of their responses against validated test cases from your business experts.
Côme Lassarat
Côme Lassarat AI and Infrastructure Engineer
It builds the data foundations and hosting architectures - connectors, warehouses, migrations - and deploys self-hosted models when data cannot leave the Union.
Clément Megemont
Clément Megemont AI Engineer
He designed and deployed anomaly detection models on sensor data in production, and industrialises AI and document extraction solutions all the way to scaling up.

Let's bring your project to life together

Contact Us
[FAQ]

Some frequently asked questions from our clients

Django is suitable for full applications that require an administration interface and a rich data model from the outset. FastAPI is our preference for fast and typed APIs, particularly for Data Science or AI models. We use both.
Yes. Intensive computations rely on libraries written in compiled languages, and an application's performance primarily depends on its architecture: cache, background processing, well-indexed database.
Yes, including a Data Scientist prototype that needs industrialising. We audit the code and its dependencies, implement automated tests on critical processes, then evolve it without rewriting it.
Yes. Our AI Engineers connect Large Language Models or predictive models to your data, and measure the quality of results before deployment to production.
Each project is costed according to its functional scope, the nature of the data to be processed and the connections to your existing tools. Describe your requirements to us, and we'll get back to you within 1 hour.
Yes. The code is versioned on your repositories from day one and you own it. It is documented so that your teams, or any other team, can take it over.
[Contact us]

Let's bring your project to life together

We work with all types of clients, across all sectors. Whether you're an entrepreneur or managing a large organisation, a tailored team will meet your needs.

Over 800 companies have trusted us to create their web, mobile, and AI products

Your enquiry

We'll get back to you within 1 hour.