A Python Development Company for Backends, Data Systems, and AI Products.
Build Python applications, APIs, data pipelines, automation, and AI systems with Django, FastAPI, modern data tooling, and production practices your team can maintain after handover.
- 100+Projects delivered
- Since 2019In business
- 95%Client retention
- 5xFaster releases
Data-Heavy Systems We Have Shipped
Explore products where our engineers solved backend, data, automation, integration, and production AI challenges.
LegalTech · 1-year build
Law Firm Payments and Operations Platform
A Django back end structures the financial model and case workflows, Celery jobs handle automated billing and payment syncing, and Stripe Connect covers attorney advance financing and payouts.
- Python
- Django
- Celery
- Stripe
- React
FinTech · 7-month build
Small-Business Financing Platform
Python and FastAPI run the APIs, business rules, and LangGraph decision flow behind an assistant for merchants, funders, and sales reps, with APScheduler, Twilio, and Resend sending follow-ups.
More reactivated blocked applications than with no automated follow-ups
- Measured
- 10–18%
- Python
- FastAPI
- LangGraph
- APScheduler
- Supabase
- Twilio
Building in Node.js, Java, or React Native instead? View all case studies
Clutch · 4.9 from 7 reviews
What Clients Say
Verified Clutch reviews from a co-founder, a head of product, and a CEO, with our Python back-end work in the case studies above.
- Product design & dev · Async Labs5.0
“Coding Crafts was able to deliver a high quality application (no critical defects, extensible and clean code) on a very tight timeline.”
SahilCo-Founder, Async LabsVerified via Clutch - Development & support · Digital health SaaS4.5
“Coding Crafts has been an integral partner in launching our first SaaS product and deploying to a reference customer.”
Peter RobinsonHead of Product, Early-Stage SaaS VendorVerified via Clutch - Custom software · Boalt LLC5.0
“Even though we have a huge time difference, [their] team was always readily available to help. Work product was iterative and good.”
Adam BoaltCEO, Boalt LLCVerified via Clutch
Our Python Engineering Process
A Python engineering process that starts with the system boundaries and data, establishes production foundations early, then builds, tests, deploys, and documents the software for ongoing ownership.
Discovery
We map users, data, integrations, current code, performance requirements, and the first outcome the Python system needs to deliver.
You get: A map of users, data, integrations, current code, and performance needs, plus the first outcome the system has to deliver.
Architecture
We define service boundaries, data models, queues, storage, deployment targets, and the interfaces other systems will depend on.
You get: Defined service boundaries, data models, queues, storage, deployment targets, and the interfaces other systems rely on.
Foundations
We establish typing, test structure, environments, CI, packaging, configuration, observability, and deployment standards before the feature surface grows.
You get: Typing, test structure, environments, CI, packaging, configuration, observability, and deployment standards in place early.
- 2-week sprints
Development
We build in short iterations with working services, pipelines, or application features available for regular review.
You get: Working services, pipelines, or application features available for regular review.
Quality and Evaluation
We test behavior, integration, load, data quality, failure cases, and AI outputs where model quality is part of the product.
You get: Tests of behavior, integration, load, data quality, and failure cases, plus AI output checks where model quality matters.
Launch and Handover
We deploy with monitoring, runbooks, repository documentation, environment details, and a walkthrough for the team that will operate the system.
You get: A monitored deployment with runbooks, repository documentation, environment details, and a walkthrough for the team that will run it.
- Architecture and foundations
- First 2–3 weeks
- Working software
- End of every two-week sprint
- First production release
- 8–16 weeks
Python Engineering for Applications, Data, and AI
Our Python development services include web backends, APIs, data engineering, AI and machine learning, automation, modernization, architecture review, and ongoing runtime support.
Python Web Applications
Build Django and FastAPI backends for SaaS products, portals, internal systems, and API-driven applications with clear data and permission models.
APIs and Services
Build typed REST or GraphQL services with authentication, validation, rate controls, background work, logging, and documented contracts.
Data Engineering and Pipelines
Build ingestion, transformation, scheduled jobs, validation, and warehouse workflows with monitoring around the data that matters.
AI and Machine Learning
Build retrieval, model-serving, evaluation, classical ML, and LLM features with explicit quality, latency, privacy, and cost requirements.
Automation and Integrations
Automate repeatable business work and integrate CRMs, ERPs, payments, external APIs, file workflows, and internal systems.
Python Modernization
Upgrade runtimes and dependencies, reduce security debt, improve packaging and deployment, and split monoliths only where the change provides clear value.
Python Consulting and Code Review
Review architecture, typing, test strategy, performance, dependency health, packaging, and deployment practices in an existing codebase.
Support and Maintenance
Handle runtime upgrades, dependencies, production issues, observability, security fixes, and planned engineering work after launch.
Technology for Production Python Systems
We choose Python frameworks, data tools, model libraries, databases, and delivery infrastructure according to workload shape, team ownership, and production requirements.
Django
FastAPI
PostgreSQL
PyTorch
LangChain
OpenAI
Docker
AWS
GitHub Actions
- OpenAI
- Docker
- AWS
- GitHub Actions
- Django
- FastAPI
- PostgreSQL
- PyTorch
- LangChain
Python Engineering Built for Production Ownership
We treat Python as production software, not only as a fast prototyping language. Testing, deployment, observability, data quality, and maintainability are part of the system design.
Production Foundations Early
Typing, tests, CI, configuration, environments, and deployment are established before the codebase becomes difficult to standardize.
Application, Data, and AI in One System
The application layer, data flows, model interfaces, and production controls are designed together when the product depends on all of them.
In a shipped buildPython and FastAPI run APIs, business rules, and the LangGraph flow, while Gemini embeddings and Upstash Vector retrieve content from PDFs and call transcripts.
Small-business financing platformQuality You Can Measure
Automated tests, profiling, data checks, evaluations, and production monitoring make technical quality visible.
In a shipped buildRepetition in longer assistant sessions was measured at around 20–30% of cases, then brought down to about 5–10% with anti-repeat checks and memory controls.
Small-business financing platformCode Your Team Can Operate
Typed Python, tests, deployment definitions, documentation, and runbooks stay with your team after handover.
- SaaS
- Fintech
- Healthcare
- Logistics
- Legal
- E-commerce
Python Development FAQs
Most Python projects we take on land between the low five figures for a focused API or automation and the mid six figures for a data platform or multi-service product. Scope, integrations, and data volume drive the price. We scope and price phase by phase, so each phase is a separate decision.
Build Your Python System for Production.
Use our no-obligation 40-hour trial to evaluate how we approach one real Python application, API, data pipeline, AI feature, or modernization problem before committing to a larger engagement.
- Response
- Within 24 hours
- First call
- Free 30-min scope
- Engagement
- Fixed-scope or T&M
- Handover
- Code + docs, always
Latest Insights.
View all postsPractical essays and guides from our team on building and shipping great software.