Python Development Services

Python Backends,
AI Pipelines, and
Automation That Ships

CrestCoder builds custom Python backends, AI/ML pipelines, and automation for businesses across India, Australia, South Africa, and the UK. Built on Python 3.14 with FastAPI, Django, and the tooling the ecosystem actually uses in production.

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8+
Years building backends
4
Countries served
100%
In-house team
4.9/5 on Clutch · 32 verified reviews
Listed on GoodFirms
100% in-house team · no subcontracting
NDA on every project
Python in 2026

The language that
runs AI and the web

Python 3.14 brings free-threading (no GIL), t-strings, and subinterpreters — but the bigger story is that Python is the default language for AI/ML and a strong general-purpose backend.

AI & machine learning

The dominant language for ML — PyTorch, TensorFlow, scikit-learn, and the entire training-to-inference pipeline runs on Python.

High-performance APIs

FastAPI delivers async, type-safe, auto-documented APIs with performance that competes with Node.js for I/O-bound workloads.

Data & automation

ETL pipelines, data processing, and task automation — Python's library ecosystem (pandas, polars, Celery) makes these practical to build and maintain.

Free-threaded in 3.14

PEP 779 makes free-threaded (no-GIL) Python officially supported — real multi-threading for CPU-bound work without multiprocessing workarounds.

What We Build

Python development
services we deliver

01

AI/ML Backends

Model training, inference APIs, and production ML pipelines — from prototype to deployed, monitored system.

02

FastAPI Applications

Async, type-safe REST APIs with auto-generated OpenAPI docs, built for speed and easy frontend integration.

03

Django Applications

Full-featured web applications with admin panels, ORM, auth, and the structure Django gives you out of the box.

04

Data Pipelines

ETL, data transformation, and scheduled processing with pandas, polars, and task queues like Celery.

05

Automation & Scripting

Business process automation, report generation, and system integration scripts that save hours of manual work.

06

Maintenance & Upgrades

Python version upgrades, dependency audits, and ongoing feature development under a monthly retainer.

Python in Production

Backends we've
built and shipped

AI Photo Management
AI/ML · Backend

AI-Powered Photo Management Platform

Challenge

A platform needed an AI/ML backend that could process, classify, and organise large volumes of user photos at scale — where model accuracy and processing speed directly affected the user experience.

Solution

We built a high-performance Python backend with AI/ML models for image classification, paired with cloud infrastructure for training and inference at scale. Python's ML ecosystem made this the natural language choice.

AI/MLImage classification
CloudScalable infrastructure
View Full Case Study →
Co-Parenting Platform
Mobile · Backend

Co-Parenting Platform

Challenge

A co-parenting app needed a reliable backend to manage shared calendars, messaging, and expense tracking — handling sensitive family data with the reliability and privacy the context demands.

Solution

We built the backend serving the cross-platform Flutter app, handling real-time sync for calendars and messaging, secure data storage, and notification dispatch across both platforms.

FlutterCross-platform app
Real-timeCalendar & messaging
View Full Case Study →
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Why CrestCoder

Python done
production-grade

AI/ML experience

We have shipped production AI/ML backends — not just experimented with notebooks.

Current Python, always

We build on Python 3.14 and plan upgrades deliberately, so your backend doesn't quietly drift years out of date.

Full project visibility

Two-week sprints with a working demo at the end of each — you see real software, not slide decks.

25-30 person team, senior-led

Small enough that senior engineers stay hands-on, large enough to staff a dedicated team when you need one.

How We Work

Our Python
development process

01

Discovery & architecture

We decide on Django vs FastAPI vs Flask, map out the data model, and scope ML requirements if AI is involved.

02

API contract & data design

API endpoints documented early so your frontend team can build in parallel.

03

Agile development

Two-week sprints with a working demo deployed to a staging environment you can access anytime.

04

Testing & validation

Unit tests with pytest, integration tests against real data, and ML model validation when applicable.

05

Launch & support

Production deployment, then an optional monthly retainer for version upgrades and continued feature work.

Common Questions

Frequently
asked questions

Still have questions? Contact us directly.

What version of Python do you use?+
Python 3.14 for new projects — the current stable release with free-threaded support (no GIL), t-strings, and subinterpreters. For existing codebases we maintain and upgrade from whatever version they are on.
Do you build AI/ML applications in Python?+
Yes — Python is the dominant language for AI and machine learning. We use PyTorch or TensorFlow for models, FastAPI or Flask for serving, and cloud infrastructure for training and inference at scale.
Django or FastAPI?+
Django when you need a batteries-included framework with an admin panel, ORM, and built-in auth. FastAPI when performance and async matter. We recommend honestly based on your project.
Can you build automation and data pipelines?+
Yes. We build these with Celery for task queues, pandas and polars for data transformation, and scheduled workflows on AWS or similar infrastructure.
Do you build the frontend too?+
Most of our Python projects are backend-focused, paired with a React, Vue, or Angular frontend. We also build full-stack Django applications when that is the simpler choice.
How do you price a Python project?+
Most projects are quoted as a fixed price after a discovery call. A standard Python API starts around $6,000-$15,000. AI/ML backends usually run $15,000-$50,000, depending on scope.
Get Started

Tell us about
your project

We reply within 24 hours with an honest architecture recommendation — no obligation.

Confidential. NDA available on request.

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Python Backend

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