Since 2010
Building Software
Batteries-Included Backends. AI-Assisted.
Django Development Services
AI-augmented Django development for data-heavy platforms and internal systems: senior engineers, the ORM used properly, and 60 days of post-launch support on every build.
- 2010
- Operating since
- 9,000+
- Projects delivered
- 3,900+
- Apps published
- 120+
- AI products shipped
Trusted by the brands we build for
9,000+
Projects Delivered
3,900+
Apps Published
25+
Countries Served
What our django development services cover
Platforms where the data model is the product, built on the framework that treats it that way.
Web platforms and backends
Django's ORM, migrations, and admin make it the fastest route to a trustworthy backend for complex domains, and we use all three properly rather than fighting them.
- ✓Domain-driven data modelling
- ✓Safe migration workflows
- ✓Query and index optimisation
- ✓Multi-database setups
APIs with DRF
Django REST Framework services with serialisers, permissions, and versioning done systematically, so API consumers get contracts instead of surprises.
- ✓DRF serialiser architecture
- ✓Permission and throttling layers
- ✓API versioning strategy
- ✓Schema and docs generation
Admin-first operations
For operational businesses, a properly customised Django admin replaces a year of internal tooling budget. We build admin interfaces your ops team actually enjoys.
- ✓Custom admin actions and views
- ✓Role-scoped admin access
- ✓Bulk operations and imports
- ✓Audit trails on sensitive models
Data and analytics platforms
Django as the transactional core of data products, with Celery pipelines, reporting layers, and warehouse integrations feeding analytics without slowing the app.
- ✓Celery and beat pipelines
- ✓ETL into warehouses
- ✓Reporting and export systems
- ✓Materialised view strategies
AI integration
LLM features and ML inference beside a Django core, with the same ORM data powering retrieval, and evaluation wired so quality is measured in production.
- ✓RAG over your Django data
- ✓Model serving integration
- ✓Vector search with pgvector
- ✓Evaluation and drift monitoring
Security and compliance builds
Django's security defaults are a head start, not a finish line. We add the hardening and evidence trails that regulated industries require.
- ✓OWASP hardening
- ✓Audit logging and access reviews
- ✓GDPR and HIPAA-aligned workflows
- ✓Dependency monitoring
What every engagement includes
Every Django project ships with the following, agreed in writing before the first sprint begins.
Discovery workshop
A structured workshop maps your goals, users, and constraints into a scoped Django roadmap with a fixed written quote before any sprint starts.
Named senior team
You get named, senior engineers with CVs you can review, not a rotating bench. The people in the kickoff are the people who ship.
Sprint demos every two weeks
Working builds are demoed live each cycle with CI running on every merge, so progress is visible in software, not slideware.
100% source-code ownership
All Django source, configurations, designs, and documentation transfer to you on delivery with no licensing strings or vendor lock-in.
60 days of post-launch support
Engineering time is on standby for two months after go-live to triage defects, tune performance, and stabilise the release at no extra cost.
12 months of free updates
Compatibility updates, security patches, and framework upgrades ship free for a full year after handover.
insight
Where django is the right call
Django is the strongest choice when your product is fundamentally about structured data with complex rules: platforms with many related entities, audit-heavy systems, and internal tools that would cost a fortune to build with lighter frameworks. Its admin and ORM remove entire workstreams.
Django pairs naturally with our Python development services for the data and ML layer around it, and its DRF APIs serve our Next.js development services front ends cleanly when you want a modern JavaScript UI over a serious backend.
The stack behind our django builds
Default choices, with reasons.
Language and framework
Current Python with full type annotations and mypy in CI, on current Django, using django-stubs so the ORM is checked rather than assumed.
Data layer
PostgreSQL as the default engine, migrations reviewed like code, select_related and prefetch_related discipline, and query-count budgets on hot paths.
API and async layer
Django REST Framework for CRUD-heavy APIs, Django Ninja or FastAPI alongside where async endpoints fit, and Pydantic models at the boundaries.
Background work
Celery with Redis or RabbitMQ for pipelines and heavy jobs, Celery Beat for schedules, and dead-letter handling with alerting so nothing fails silently.
Testing and quality
pytest-django with coverage gates, factory-based test data, integration tests around permissions and money paths, and ruff keeping the codebase uniform.
Deployment and AI
Dockerised deploys to your cloud accounts, Gunicorn and Nginx or ASGI where async applies, OpenTelemetry tracing, and AI tooling accelerating tests and review across every project.
How a django project runs
Six stages, each ending in something you can inspect.
- 01
Discovery
We map entities, rules, and roles, which for Django is most of the architecture. Scope, fixed quote, and success metrics come out of this in writing.
✓ step 01 complete - 02
Data modelling
The model layer is designed and reviewed with you in detail, because in Django the models are the product's spine and late changes there are expensive.
✓ step 02 complete - 03
Setup
CI, environments, auth, and admin customisation are scaffolded first, with a walking skeleton on staging before feature sprints begin.
✓ step 03 complete - 04
Sprint delivery
Two-week sprints, demo every cycle. The admin becomes usable early, so your operations team can start working with real data mid-build, not after launch.
✓ step 04 complete - 05
Hardening and launch
Query and load profiling, security review, audit-trail verification, and documentation, with backup and restore rehearsed before go-live.
✓ step 05 complete - 06
Support and handover
60 days of included support, 12 months of free updates, and handover documentation for the engineers who inherit the platform.
✓ step 06 complete
/07
Why teams choose our django engineers
Django rewards teams that respect its opinions. We do, and we have the scar tissue.
ORM fluency
Query-count discipline, index awareness, and migration safety are habits on our team, not a training topic. Django apps slow down when the ORM is used carelessly; ours is not.
Admin as a product
We build admin interfaces as carefully as customer-facing UI, because for operational businesses the admin is where the ROI actually lives.
AI-augmented delivery
AI tooling speeds test generation, refactoring, and review across our Django projects while senior engineers own modelling decisions. Faster sprints, same rigour.
Security defaults plus evidence
Django's protections are the floor. We add audit trails, access reviews, and the documentation evidence that compliance audits actually ask for.
Integration with data and AI
Our ML and data engineering teams sit beside the Django team, so AI features and analytics pipelines are designed with the core, not bolted onto it.
Track record since 2010
9,000+ projects delivered across 25+ countries, including Django platforms carrying regulated and data-heavy workloads.
Django development FAQs
$ moxace launch --nowReady to Build on Django?
Talk to our Django team about an AI-augmented build with senior engineers, 60 days of support, and full source-code ownership on delivery.
- 01
Share your idea
a quick call, no deck required
- 02
See the live demo
every screen, admin to user
- 03
Launch with source
full code, your brand, your servers
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