We build production-grade FastAPI backends with async performance. Senior engineers ship your MVP in 8-12 weeks.
IRPR builds async-first FastAPI backends for production applications. We use Pydantic for data validation, SQLAlchemy for ORM, and Celery for background tasks to create high-performance APIs.
Typical projects ship in 8 to 12 weeks with a fixed price between $80,000 and $250,000. We deliver HIPAA, PCI-DSS, and SOC 2 compliant systems with full test coverage and CI/CD pipelines.
CTOs scaling microservices, startup founders needing an API-first platform, and enterprise teams migrating from legacy Python frameworks hire us. Each buyer gets a dedicated senior engineer who codes the entire backend.
Async REST API with FastAPI and Pydantic. Includes OpenAPI docs, rate limiting, and JWT auth out of the box.
Distributed microservices connected via RabbitMQ or Kafka. Each service runs in its own Docker container with health checks.
Stream processing with FastAPI WebSockets and Redis Pub/Sub. Handles 10k+ events per second with low latency.
GPU-accelerated inference endpoints using FastAPI with ONNX or TensorRT. Includes batching and request queuing via Celery.
Multi-tenant FastAPI backend with PostgreSQL schemas and Stripe subscription integration. Built for 99.9% uptime.
Persistent WebSocket connections for real-time dashboards and live notifications. Scales horizontally using Redis backplane.
Centralized gateway with rate limiting, authentication, and routing to multiple FastAPI services. Built with Traefik or nginx.
High-throughput ingestion from IoT devices or webhooks. Validates and stores data in TimescaleDB with automatic partitioning.
FastAPI delivers async performance out of the box, but building production-grade backends requires expertise beyond the documentation.
IRPR has shipped 200+ API projects using FastAPI, Python, and Postgres. We handle async concurrency, database connection pooling, and horizontal scaling so your API can handle 10,000 concurrent requests without breaking.
Every project includes automatic OpenAPI documentation, load testing at 5000 requests per second, and a CI/CD pipeline that deploys on every merge. We build for production from day one, not for prototypes.
Not every agency has the async expertise to make FastAPI sing. Here is the difference.
Many agencies advertise FastAPI but deliver synchronous Flask-style code that wastes the framework's potential. They skip automated docs, load testing, and database optimization.
IRPR builds async-fast APIs from the first endpoint. We use connection pools, async database drivers, and Structured Logging (structlog) so your API is fast and debuggable in production.
We follow a structured 4-phase process that de-risks your investment and delivers a production-ready backend.
Every FastAPI project starts with a 2-week Roadmap phase where we define the data model, API endpoints, and deployment architecture. You get a fixed price and timeline before any code is written.
The Development phase runs in 2-week sprints. We push code to your repo daily, deploy to staging weekly, and run automated tests on every pull request.
Our deliverables are complete, not just a code dump. You get everything needed to run and maintain the system.
We never hand over a half-baked repository. Every FastAPI project includes automated tests, documentation, and infrastructure-as-code so your team can deploy without us.
All code is written to production standards with linting (Ruff), type checking (mypy), and security scanning (Bandit) enforced in CI.
Built an async FastAPI backend that ingests 50 million events per day and powers a live dashboard. Reduced query latency by 40% using TimescaleDB continuous aggregates. Tech stack: FastAPI, TimescaleDB, Redis, WebSockets.
Delivered a HIPAA-compliant FastAPI backend for a telehealth startup. All PHI encrypted at rest and in transit; passed security audit in 2 weeks. Tech stack: FastAPI, PostgreSQL, AWS HealthLake, Celery.
Built an inference API that classifies images in real-time using a PyTorch model served via FastAPI. Handles 10,000 images per minute with batching. Tech stack: FastAPI, PyTorch, ONNX, Redis.
Created a multi-tenant FastAPI backend with Stripe subscription management and usage-based billing. Reduced churn by 15% through automated dunning emails. Tech stack: FastAPI, Stripe, PostgreSQL, Celery.
Developed a high-throughput ingestion API that validates and stores 1 million IoT events per day. Data partitioned by time in TimescaleDB for fast queries. Tech stack: FastAPI, Kafka, TimescaleDB, Docker.
Built a unified FastAPI gateway that integrates Stripe, PayPal, and Square. Reduces transaction failures by 90% via automatic retries and idempotency keys. Tech stack: FastAPI, Redis, PostgreSQL, Docker.
Every FastAPI project gets a fixed quote after the 2-week Roadmap phase. No hourly billing, no surprise invoices, no scope creep charges. Our average project costs $80K-$250K.
We assign a single senior engineer with 10+ years of Python experience to your project. You never get a junior or a rotating team. The same person codes, deploys, and supports your API.
We write automated tests, configure Sentry error tracking, and set up Datadog monitoring before the first deployment. Your API is production-ready at launch, not after months of fixes.
Every project includes 30 days of post-launch support for bug fixes and hotfixes. We monitor logs and respond within 4 hours during business days.
Every FastAPI endpoint comes with auto-generated OpenAPI documentation and a Swagger UI. Your frontend team can start integrating without waiting for manual docs.
We use async SQLAlchemy sessions, async Redis clients, and async HTTP clients (httpx). Your API handles thousands of concurrent connections without blocking.
Every engagement runs through the same four-stage pipeline. Predictable by design.
30-minute discovery call. No deck. We'll tell you honestly what it takes, how long, and how much.