Technology · Python
Python where it has to hold up: backends, data and AI in production.
in production
Django and Python services, CI/CD tooling and the AI microservices behind our applied-AI practice — running inside systems that can't afford downtime. Part of our stack since 2017.
Python & Django Engineering for Backend, Data & AI Systems
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The practice
What we build
Backend & API engineering
Django and Python services behind decoupled frontends — the backend half of the React and headless architectures we ship.
Data tooling & CI/CD automation
Python tooling for CI/CD, deployment automation and data workflows — in production on Uruguay's national government platform since 2017.
AI microservices
The Python services behind our applied-AI practice: retrieval-grounded assistants, document classification, human-in-the-loop automation.
Legacy modernization
Strangler-pattern modernization: Python services take over one function at a time, with rollback and full traceability, while the legacy system keeps running.
The proof
Where Python runs today
Government · National platform, since 2017
Gub.uy — Uruguay's government platform
Python and Node.js tooling behind the CI/CD and automation layer of a 100+ portal government platform, in production since 2017.
See the case
Backend for React & headless platforms
Python and Django often sit behind the decoupled frontends we build — see how the two come together.
See React & Headless
Inside our applied-AI practice
Python is the language behind the AI microservices we run with human oversight.
See Applied AI
Before you book a call
Frequently asked questions
Frequently asked questions about Python engineering
Django, FastAPI, or something else?
We choose per problem — Django for content-heavy backends and admin-driven workflows, lighter frameworks for services and APIs. No default stack imposed on your team.
Do you only use Python behind React frontends?
No — Python also runs our CI/CD tooling, data workflows and the AI microservices behind our applied-AI practice, independent of any particular frontend.
Can you take over an existing Python codebase?
Yes — we start with a technical assessment and give you an honest report before committing, the same approach we use for Drupal project rescues.
The first step
Tell us where Python already runs in your stack — or where it should. Thirty minutes is enough to know where to start.
Tell us about your Python stack
Tell us where Python already runs in your stack — or where it should — and we'll reply with where to start.
Full name
Jane Smith
Your use case
Tell us in a few lines what you want to build or modernize with Python.
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