Python Agency
We build your back-ends, data processing and AI components in Python. A language your own team, or another provider, can pick up without having to relearn everything.
Build your back-end with Python
Python is one of the most widely used languages in the world, and one of the most readable. Instagram, Spotify and NASA run it in production: starting a project in Python today means betting on a stable, long-lasting ecosystem — a structural choice of language for the whole project.
We use it as the back-end foundation of your business software and SaaS applications. Its versatility covers web development, with Django or FastAPI, as well as task automation, data analysis and the integration of artificial intelligence models.
In practice, Python lets us ship a back-end that stays clear and easy to evolve. The code remains readable by the whole team, which secures handovers and long-term changes.
Python solutions adapted to each context
A startup needs a solid back-end for its SaaS product, ready to scale.
A Python API (Django Rest Framework or FastAPI) with authentication, subscription management and an architecture designed for scalability.
A research organization needs to process and analyze large volumes of data.
Python processing with Pandas and NumPy, automated data pipelines and an API to expose results to the teams.
An SME wants to automate repetitive tasks and make its business processes more reliable.
Python automation services connected to its existing tools, with logging, scheduling and alerts.
An organization wants to integrate AI (document analysis, assistant) into its tools.
Integrating AI models in Python (RAG, data extraction) within its applications, securely and under control.
What we hold to on a Python back-end, from framework choice to handover.
Readable code
Python another developer can pick up without spending weeks decoding it.
Tests and coverage
Automated tests and code coverage tracked over time, not only at delivery.
Isolated versions
Each project keeps its own Python version, managed with pyenv, with no clash across services.
Django or FastAPI
Django when you need an admin and a database, FastAPI for asynchronous APIs.
Background processing
Long tasks move out of the request cycle, with scheduling, logging and alerts.
Validated inputs
Typing and validation schemas on API inputs, checked by the test suite.
Tooled-up data work
Pandas and NumPy for heavy volumes, with an API to expose results to your teams.
AI without a rewrite
Adding RAG or document extraction doesn't mean changing the technical foundation.
Concrete custom development achievements
Identify levers to strengthen farm autonomy
An extranet to centralize all information and documentary resources
Offer a mortgage simulation that matches real lending conditions
Provide tools to master energy consumption
Carry out genomic sequencing projects
Identify levers to strengthen farm autonomy
An extranet to centralize all information and documentary resources
Offer a mortgage simulation that matches real lending conditions
Provide tools to master energy consumption
Carry out genomic sequencing projects
Identify levers to strengthen farm autonomy
An extranet to centralize all information and documentary resources
Offer a mortgage simulation that matches real lending conditions
Provide tools to master energy consumption
Carry out genomic sequencing projects
How we put Python to work on your applications.
Python is readable, mature and versatile: a single language covers the web back-end, automation, data processing and AI. For you, that means a coherent technical foundation and a team that masters the whole chain, from the server to AI models.
For a complete application, with an admin interface and a database, we favour Django. For fast, asynchronous APIs, we turn to FastAPI, a framework that is an alternative to Django and Flask we detail on our blog. The two work very well together on the same project.
We isolate each project and manage multiple Python versions cleanly with pyenv. Quality is backed by automated tests and tracked code coverage: tested, documented code means a project that lasts.
What Python actually brings to your project.
Python brings together in a single language what often requires several technologies elsewhere: web back-end, automation scripts, data processing and artificial intelligence. This coherence simplifies the architecture and lowers maintenance costs.
Its ecosystem is unmatched for data and AI: Pandas and NumPy for data, PyTorch and libraries like LangChain to integrate language models. Your applications can evolve towards AI without changing their technical foundation.
Finally, Python's readability is a lasting asset: a new developer gets up to speed quickly, which secures maintenance and changes over time.
What you get from Python, in practice:
An unmatched data & AI ecosystem (Pandas, NumPy, PyTorch, LangChain)
A readable language that speeds up development and handovers
Versatile: web back-end, APIs, automation, data and AI
Scalability proven by Instagram, Spotify and NASA
Tooled quality: automated tests, typing, code coverage
A huge community and thousands of available libraries
Ready to get started?
From scoping to prototype, to AI integration.
We support your business software projects from start to finish.