Since 2010
Building Software
Typed Python APIs. AI-Assisted Delivery.
FastAPI Development Services
AI-augmented FastAPI development when Python is the product's engine: our engineers build typed, async APIs and ML serving layers with Pydantic discipline, and every build ships with 60 days of support.
- 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 fastAPI development services cover
Python APIs where type safety and async throughput are designed in, not hoped for.
Typed, High-performance APIs
REST APIs with Pydantic-validated contracts and OpenAPI docs generated from the code itself, so client teams integrate against truth instead of a stale PDF.
- ✓Pydantic v2 request and response models
- ✓Async endpoints on ASGI
- ✓OpenAPI schema and docs generated
- ✓Dependency injection for auth and DB
ML and LLM model serving
Models behind production APIs: batch and streaming inference, GPU-aware deployment, and evaluation endpoints, closing the gap between notebook and product with our AI development services practice.
- ✓Inference endpoints with batching
- ✓Streaming LLM responses
- ✓Model versioning and rollback
- ✓Latency and drift monitoring
Async data and integration services
Services that juggle many concurrent I/O calls: aggregators, webhooks, and schedulers built on async SQLAlchemy and background task queues that actually finish.
- ✓Async SQLAlchemy and asyncpg
- ✓Background tasks via Celery or ARQ
- ✓Webhook receivers with idempotency
- ✓Rate limiting and backoff
Data platform APIs
Internal and customer-facing APIs over data platforms, with query-scoped permissions and pagination that behaves at millions of rows.
- ✓Query APIs with row-level permissions
- ✓Cursor pagination at scale
- ✓Cached aggregations with Redis
- ✓Audit logging on reads where required
Auth and Multi-tenancy
OAuth2 and OIDC implemented per spec (FastAPI's security utilities demand it), tenant isolation enforced in queries, and secrets managed outside the codebase.
- ✓OAuth2 and JWT flows
- ✓Tenant-scoped data access
- ✓Role and permission layers
- ✓Secrets via Vault or cloud KMS
Python backend modernisation
Flask and Django REST codebases moved to FastAPI where the async and typing benefits justify it, and old Python services made type-safe incrementally.
- ✓Flask or DRF to FastAPI migration
- ✓Gradual typing with mypy strictness
- ✓Test harness before structural work
- ✓Async conversion where it pays
What every engagement includes
Every FastAPI 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 FastAPI 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 FastAPI 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 fastAPI is the right call
FastAPI suits API-centric products where Python's ecosystem is the reason you are there: machine learning features, data platforms, and integration-heavy services. Its typed contracts and async core also make it a strong choice for teams that want Python velocity without Python's usual runtime surprises.
For the wider Python picture (full web products, data engineering, AI pipelines), our Python development services page covers the whole ecosystem, and our Django development services team covers the batteries-included alternative when a full product framework fits better.
The stack behind our fastAPI builds
Default choices, and why, stated plainly.
Framework and runtime
Current FastAPI on Python 3.12+ with uvicorn, strict typing (mypy in CI), and Pydantic v2 for validation and settings, so runtime surprises are caught at deploy time.
Data layer
Async SQLAlchemy 2.0 with Alembic migrations under version control, PostgreSQL via asyncpg, and Redis for caching and hot counters, tuned with real query plans.
Background work
Celery or ARQ task queues for anything slow or fragile, with retries, dead-letter handling, and monitoring, because webhooks and exports always outlive the request.
Auth and security
OAuth2 password and client-credential flows, JWT with rotation, tenant-scoped query enforcement, and dependency-based permission checks auditors can trace.
Testing and quality
Pytest with async fixtures, Testcontainers for database-backed integration tests, contract tests generated from the OpenAPI schema, and coverage gates on money paths.
Deployment and observability
Docker images in CI, Kubernetes or ECS deployments with health probes, Prometheus metrics, structured logs, and OpenTelemetry tracing wired from the first deploy.
How a fastAPI project runs
Six stages with sign-off gates, built around typed contracts.
- 01
Discovery
Data models, ML workloads, traffic expectations, and integration surfaces mapped in a workshop, ending in a fixed written quote with latency and throughput targets stated numerically.
✓ step 01 complete - 02
Contract design
Pydantic schemas and OpenAPI contracts designed and reviewed before implementation, so client teams and ML engineers build against stable, typed boundaries.
✓ step 02 complete - 03
Foundation sprint
Repository, CI, Testcontainers, and observability scaffolded first. A walking-skeleton service deploys to staging serving real contract shapes before features start.
✓ step 03 complete - 04
Sprint delivery
Two-week sprints with live demos. mypy, tests, and contract checks gate every merge, and inference or query latency is tracked against budgets each cycle.
✓ step 04 complete - 05
Load and hardening
Load tests against the discovery numbers, failure-mode drills (queue backlogs, model cold starts), and a security review before the production cutover.
✓ step 05 complete - 06
Support and handover
60 days of included support, 12 months of free updates, and runbooks plus architecture records written for the engineers who inherit the service.
✓ step 06 complete
/07
Why teams choose our fastAPI engineers
Python speed without Python chaos is an engineering discipline. Ours shows in the contracts.
Typed python, enforced
mypy strict and Pydantic at every boundary are our baseline, so the flexibility Python is famous for stops being the bug source it is famous for.
AI-augmented delivery
AI tooling accelerates tests and scaffolding across our FastAPI projects while senior engineers own async design, data modelling, and every merge.
ML serving that survives production
We ship models with batching, versioning, rollback, and drift monitoring, because a model in a notebook is a demo and a model in production is a system.
Async done deliberately
We use async where concurrency is real (I/O, webhooks, streaming) and say so when it adds complexity without benefit, because fashion is not an architecture.
Contracts before code
Typed schemas and OpenAPI specs are designed first and tested continuously, so integration bugs surface in CI instead of in your customers' hands.
Track record since 2010
9,000+ projects delivered across 25+ countries, including ML-backed platforms serving real production traffic.
FastAPI development FAQs
$ moxace launch --nowBuilding a python API or serving models?
Send us your workload and data context. We will tell you where FastAPI fits and where Django or something lighter would serve you better.
- 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
$ moxace launch --nowReady for Typed Python APIs in Production?
Talk to our FastAPI team about a fixed-scope, AI-augmented build with 60 days of support and full source-code ownership.
- 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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