FastAPI Development
Python APIs at full speed
Async-first Python backends with FastAPI — the stack of choice for AI/ML services, data APIs, and high-performance microservices with automatic OpenAPI docs.
30k+
req/sec on async endpoints
100%
typed request/response schemas
<50ms
p99 latency targets hit
Outcomes that move the bottom line
We measure success in business results — revenue, cost, speed, and reliability — not lines of code shipped.
30k+
Req/sec on async endpoints
Python that performs — async-first design that handles serious concurrent load on modest hardware.
<50ms
p99 latency hit
Profiled, optimized hot paths that meet aggressive latency SLAs even under spiky traffic.
100%
Typed schemas
Pydantic-validated contracts and auto-generated docs your frontend team can build against with confidence.
AI-ready by design
The natural home for model serving, inference APIs, and data pipelines that feed your AI features.
What we deliver
High-performance APIs
Async endpoints with Pydantic validation, dependency injection, and auto-generated OpenAPI docs your frontend team will love.
AI/ML model serving
Inference APIs for LLMs and custom models — streaming responses, batching, GPU-aware scaling, and queue-backed long tasks.
Data & ETL services
Pipelines and data APIs with Celery workers, scheduled jobs, and integrations into warehouses and analytics stacks.
Auth & multi-tenancy
OAuth2/JWT auth, role-based access, rate limiting, and tenant isolation patterns for SaaS products.
Concrete deliverables
Every engagement ships tangible artifacts you own and can run without us — not slideware.
- Contract-first API design and OpenAPI specification
- Async FastAPI service with Pydantic models
- Model-serving / inference endpoints where needed
- Celery workers and scheduled jobs
- Auth, rate limiting, and multi-tenancy
- Dockerized deployment with structured logging
Is this the right fit?
We do our best work when the fit is right. This practice shines for teams like these:
- AI/ML teams needing to serve models in production
- Data APIs and ETL pipelines
- High-performance microservices written in Python
- SaaS products needing multi-tenant Python backends
Tools of the trade
Our process
01
API design first
Contract-first design with your consumers — schemas and endpoints agreed before code is written.
02
Typed foundation
Pydantic models, strict mypy, pytest harness, and CI from the first commit.
03
Build & load test
Feature delivery with async patterns done right, profiled and load-tested against your SLA targets.
04
Ship & observe
Containerized deployment with structured logging, tracing, and metrics wired into your stack.
Ways to work together
Choose the model that matches your stage and risk profile — or tell us your constraints and we'll recommend one.
Defined outcome, fixed budget
Fixed-scope project
A scoped statement of work with milestones, acceptance criteria, and a target launch date. You know the cost and the deliverable before we start.
Best for: Well-defined builds with clear requirements and a firm timeline.
An embedded senior team
Dedicated squad
A cross-functional pod — engineering, design, and delivery — that works as an extension of your team with sustained velocity and full ownership.
Best for: Evolving roadmaps that need ongoing capacity and accountability.
Ongoing partnership
Retainer & support
Reserved monthly capacity for iteration, maintenance, performance work, and on-call reliability — with response-time SLAs that match your risk.
Best for: Maintenance, iteration, and reliability after launch.
Common questions
FastAPI's async runtime, Pydantic validation, and auto-docs make it ideal for APIs and AI services. Django still wins for admin-heavy CRUD apps — we use both and recommend what fits your project.
Let's build something
Have a project in mind?
We'd love to hear about it. Tell us what you're building and we'll get back to you within 24 hours.