Backend
Python engineering for AI, data and mission-critical backends
From FastAPI microservices to production ML pipelines.
Overview
Python powers our AI, data and automation work. We use FastAPI and Django for backends, and PyTorch, LangChain and pandas for machine learning and analytics workloads.
Key features
- Readable syntax and huge standard library
- Rich AI/ML ecosystem (PyTorch, HuggingFace)
- FastAPI for typed async APIs
- Strong data tooling (pandas, Polars, DuckDB)
- Great for scripting and automation
Business benefits
- Fastest path from prototype to production for AI
- Wide talent availability
- Excellent for data-heavy workloads
- Battle-tested in scientific and financial computing
Common use cases
AI agents and RAG pipelines
Data engineering and ETL
Analytics dashboards backends
Trading and quant systems
Scraping and automation
Python development services we offer
FastAPI and Django API development
Machine learning model deployment
Data pipelines and ETL
LangChain and LlamaIndex builds
Web scraping and automation bots
Python code audits and modernization
Industries we support
FintechAIHealthcareResearchLogistics
Related technologies
Frequently asked questions
Do you use Django or FastAPI?
FastAPI for typed async APIs and microservices. Django when we need a mature admin and ORM out of the box.
Ready to build with Python?
Tell us about your project. We'll come back within one business day with a proposal and timeline.