Zentury

Start a project

Let’s build something that works

The first conversation is free — you’ll leave with clarity, not a sales pitch.

or email hello@zentury.studio

TechnologiesPython

Development company

Python

Web apps, data pipelines and AI features, built in the language they all share.

Python is the language of data and AI, and a very productive one for web back ends. We build Django and FastAPI apps, automate the work your team does by hand, and put machine learning into products people use every day.

Python code on a dark screen
DjangoFastAPIFlask
main.py
from fastapi import FastAPIfrom .models import Order, NewOrderapp = FastAPI()@app.post("/orders", status_code=201)async def create_order(body: NewOrder) -> Order:    order = await Order.create(**body.model_dump())    await notify_kitchen(order)    return order

01 — Services

What we build with Python

From a quick prototype to production systems that crunch data every hour of the day.

  1. Custom web apps

    Web applications and admin panels in Django, with user accounts, permissions and reporting built in.

  2. APIs & integrations

    Fast, typed APIs in FastAPI, and integrations that keep your CRM, payments and internal tools in sync.

  3. AI & machine learning

    Recommendations, forecasting, document processing and LLM features, built into your product instead of left in a notebook.

  4. Data & automation

    Pipelines that pull data together, clean it and turn it into reports, plus scripts that remove repetitive manual work.

  5. Cloud applications

    Python services and scheduled jobs running on AWS, Google Cloud or Azure, set up to scale and cost little when idle.

  6. IoT applications

    Software for Raspberry Pi and connected devices, and the back end that collects and makes sense of their data.

  7. Prototypes & MVPs

    Python is quick to write, so it’s a good way to get an idea in front of users in weeks and learn what they want.

  8. Upgrades & migration

    Moving old Python 2 or unsupported Django versions forward, and cleaning up code that has grown hard to change.

ScrollSwipe

02 — Why Python

Python vs. other languages for data and AI

Why most data and AI work happens in Python, and where we take extra care.

PythonMost other languages
  • Libraries for AI and data

    PyTorch, pandas and most AI SDKs are Python-first
  • Time to a working prototype

    Compact, readable code gets ideas running fast
  • Readability for new developers

    Easy to hand over and easy to review
  • Raw execution speed

    Hot paths go to NumPy, async I/O or compiled code

03 — The technology

Key things to know about Python

Python is an open-source, general-purpose language first released in 1991. It is known for readable code, and it has a package for almost everything: web, data, science, automation and AI.

For web work we use Django when a project needs an admin panel and lots of built-in features, and FastAPI for fast, typed APIs. Both are mature and widely used.

Python is the default language for machine learning and data science, so it’s the natural choice when your product needs AI features, forecasting or heavy data processing next to a normal web app.

Apps built with Python

  • Instagram
  • Spotify
  • Netflix
  • Dropbox
  • Reddit
  • Pinterest
  • YouTube
  • Instagram
  • Spotify
  • Netflix
  • Dropbox
  • Reddit
  • Pinterest
  • YouTube
  • Instagram
  • Spotify
  • Netflix
  • Dropbox
  • Reddit
  • Pinterest
  • YouTube

04 — Process

How a Python project runs

Four stages. For AI and data work, we check the data before promising results.

  1. 01

    Define the goal

    What should the software do, and how will we know it works? For data projects, we look at the data you have first.

  2. 02

    Prototype

    A small working version, often in a couple of weeks, to test the riskiest idea before building everything else.

  3. 03

    Build in sprints

    Two-week sprints, tests on every change, and a staging environment you can try whenever you like.

  4. 04

    Deploy and improve

    Production release with monitoring. For ML features, we track accuracy after launch and retrain when needed.

05 — Tech stack

Our Python tech stack

The frameworks and libraries we reach for on most Python projects.

  • 01WebPython · Django · FastAPI · Flask
  • 02Data & AIpandas · NumPy · PyTorch · scikit-learn
  • 03DatabasePostgreSQL · Redis · MongoDB
  • 04Testing & jobspytest · Celery · Jupyter
  • 05DevOpsDocker · Kubernetes · AWS

Web

  • Python
  • Django
  • FastAPI
  • Flask

Data & AI

  • pandas
  • NumPy
  • PyTorch
  • scikit-learn

Database

  • PostgreSQL
  • Redis
  • MongoDB

Testing & jobs

  • pytest
  • Celery
  • Jupyter

DevOps

  • Docker
  • Kubernetes
  • AWS

06 — Industries

We’ve built software for your industry

Generic software rarely fits complex industries. We take time to understand the regulatory environment, user behavior, and operational realities of your space before writing a single line of code.

  • Agriculture
  • Fintech
  • Healthcare
  • Education
  • eCommerce
  • Hospitality
  • Entertainment
  • Government
  • Real Estate
  • Business
  • Logistics
  • Tech & IT
  • Non-Profit
  • Automotive
  • Travel & Tourism

07 — Client voice

Working with Zentury has been a game-changer for our business. Their AI solutions have revolutionized our operations, enabling us to automate repetitive tasks and make data-driven decisions with ease. We couldn’t be happier with the results.

John AndersonCEO of Oklahoma Medical Care

Partnering with Zentury has transformed our business. Their AI solutions have streamlined our operations by automating routine tasks and empowering us to make smarter, data-driven decisions. The results have exceeded our expectations.

Brandon PearsonBig Canyon Inc.

01 / 02

FAQ

Python questions

01What is Python used for?

Web back ends, APIs, data processing, automation, and above all machine learning and AI. Instagram’s back end, Spotify’s data systems and most modern AI tools are built with Python.

02Django or FastAPI?

Django for full web apps that need accounts, an admin panel and lots of built-in features. FastAPI for fast, typed APIs and AI services. Many projects use both.

03Can you add AI to our existing product?

Yes. We connect your app to models like OpenAI’s or open-source ones, or train our own on your data, and build the feature around it, whether that’s search, summaries, recommendations or forecasts.

04Is Python fast enough for production?

Yes, for almost all web and data work. The heavy maths runs in optimised libraries written in C, and we use async code and caching to keep APIs quick.

05How long does a Python project take?

An automation or prototype can take 2–4 weeks. A full web app or AI feature typically takes 8–16 weeks. You get a timeline after a short discovery call.

09 — Get in touch

Let’s build

Let’s Build Something That Works

Have an idea you’re ready to move on? A problem your current technology isn’t solving? Our team is based in Austin, Texas, and works with businesses all over the world. Reach out — the first conversation is free, and you’ll leave with clarity, not a sales pitch.

Email us
Studio
5900 Balcones Drive STE 100, Austin, Texas 78731

Tell us about your project