Python Development
From data pipelines to AI back-ends — Python done rightOur Python engineers build data science tooling, ML model APIs, automation scripts, and scalable Django/FastAPI web backends for AI-heavy products.
What you get
Every engagement is designed around clear business outcomes — not just technical deliverables.
AI/ML Native
Deep expertise in NumPy, pandas, scikit-learn, PyTorch, and Hugging Face.
Automation Power
Automate anything — scraping, file processing, report generation, API orchestration.
Data Pipelines
Reliable ETL with Airflow, Prefect, or simple cron — that stay idempotent.
Production APIs
FastAPI and Django REST Framework services that are fast, typed, and testable.
Built Different. Delivered Different.
We are not a big-4 consulting firm with layers of juniors — we are senior practitioners who have built and shipped real systems at scale.
10+ Years of Production AI
We have shipped AI systems used by millions — not slide decks, but deployed, monitored production code.
Results-Driven, Not Hours-Driven
We measure success by your business outcomes: reduced costs, more revenue, faster operations.
Deep Technical Depth
Senior engineers across ML, backend, cloud, and data — no generalists who dabble, only specialists who ship.
Radical Transparency
We tell you when AI is not the right answer. Our goal is your success — not our revenue.
How we work
A battle-tested process refined across 50+ projects — fast, transparent, and built for production from day one.
Requirements
Understand data sources, processing logic, outputs, and SLA requirements.
Prototype
Rapid Jupyter-based prototype to validate assumptions before production code.
Productionise
Clean, typed, linted Python packaged for deployment — not just notebook code.
Optimise
Profile bottlenecks, vectorise hot paths, add caching, and scale horizontally.
Maintain
Automated tests, monitoring, and versioned pipelines keep things running.
Our tech stack
We pick the best tool for the job — not the one we happen to know. Here is what powers our Python Development engagements.
Web Frameworks
Data & ML
Automation & Scraping
Infrastructure
Typical projects
From rapid MVPs to enterprise-grade systems — here are the kinds of projects we tackle.
Choose how we work together
No one-size-fits-all pricing. We adapt to your project type, team size, and budget.
Fixed-Price Project
Clearly scoped deliverables, timeline, and price. Zero surprises — you know exactly what you are paying for.
- Detailed scope document
- Fixed-cost proposal
- Milestone-based payments
- 30-day post-launch support
Ideal for: Defined projects with clear requirements
Monthly Retainer
Dedicated hours each month for ongoing development, optimisation, and strategic AI guidance.
- Dedicated senior engineer hours
- Weekly strategy calls
- Priority support SLA
- Monthly roadmap reviews
Ideal for: Growing SaaS and product companies
Team Augmentation
Dedicated engineers embedded in your team — same timezone, same tools, same Slack.
- Full-time dedicated engineers
- Direct Slack/Teams access
- Embedded sprint participation
- Knowledge transfer sessions
Ideal for: Enterprises scaling their tech teams
Common questions
Still have questions? Ask us directly →
Do you work with Jupyter notebooks already written?
Yes — we review and refactor notebooks into clean, testable Python packages ready for production.
How do you deploy Python ML models?
Via FastAPI containers on Docker/Kubernetes, or serverless with AWS Lambda and model layers.
Can you automate our internal workflows?
Absolutely. We map your manual process, then build headless browser or API-based automation.
Let's build something
extraordinary together.
Book a free 30-minute discovery call. No sales pitch — just an honest conversation about your challenge and how we can help.