Python development for data, AI, and the services around them
Centricone builds Python systems where the ecosystem earns its place: retrieval and machine learning, data pipelines that run on schedule, and the APIs that expose both to the rest of your stack.
What we build
What we build with Python
APIs with FastAPI or Django
Typed, documented services — FastAPI where the job is an API, Django where you also want an admin, an ORM, and batteries included.
Data pipelines that are observable
Scheduled extraction, transformation, and loading with retries, lineage, and alerting, so a silent failure is not discovered by a wrong dashboard three weeks later.
AI and machine learning systems
Retrieval, evaluation, and model serving — the reason most AI work lands in Python regardless of what the rest of the stack is written in.
When Python is the right call — and when it is not
We would rather talk you out of a stack than deliver the wrong one well.
Reach for it when
- Anything involving data science, machine learning, or retrieval
- Data engineering and pipeline work, where the library ecosystem is unmatched
- Teams who value readability and fast onboarding over raw runtime speed
Pick something else when
- Latency-critical hot paths where interpreter overhead is the bottleneck
- Large teams unwilling to enforce type hints — codebases get hard to change fast without them
- Mobile applications, where it is simply the wrong tool
What we normally run alongside it
No stack is one tool. These are the pieces that usually show up with Python on our projects.
- FastAPI
- Django
- PostgreSQL
- pandas
- dbt
- Celery
Need people rather than a project?
We place Python engineers into your own team on contract or contract-to-hire.
Python questions we get asked
Weighing it against something else? Tell us the constraints and we’ll give you a straight recommendation.