We build production-grade FastAPI backends in 8-12 weeks. Fixed price, senior engineers, zero bull.
IRPR is a top FastAPI development agency. We build high-performance REST APIs, microservices, and data pipelines using Python's FastAPI framework with async support.
Each project ships in 8-12 weeks with a fixed price between $80K and $250K. Our API services are HIPAA and SOC 2 compliant. We use Pydantic for validation, SQLAlchemy for ORM, and deploy on AWS ECS.
Startups needing a scalable MVP backend. Fintech companies requiring compliant API infrastructure. Healthcare platforms building HIPAA-ready data services. And SaaS teams modernizing their legacy Python monoliths.
Build RESTful APIs with FastAPI that handle thousands of requests per second using async endpoints, Pydantic models, and OpenAPI docs.
Design decoupled microservices using FastAPI with event-driven patterns, RabbitMQ, and Docker Compose for local dev.
Implement WebSocket endpoints in FastAPI for live updates, chat, and real-time dashboards with Redis Pub/Sub.
Create an API gateway layer using FastAPI that aggregates responses from multiple downstream services and caches with Redis.
Offload heavy tasks to Celery workers triggered from FastAPI endpoints, with progress tracking via WebSockets.
Build ETL pipelines using FastAPI as the ingestion layer, streaming data to Kafka and processing with Apache Spark.
Wrap FastAPI endpoints with Strawberry GraphQL to support federated queries across multiple data sources.
Deploy FastAPI as serverless functions on AWS Lambda using Mangum, with auto-scaling and sub-second cold starts.
FastAPI is the fastest growing Python web framework for building async APIs.
FastAPI uses Python's async and await to handle thousands of concurrent connections without blocking. It automatically generates OpenAPI docs and validates data with Pydantic.
IRPR chose FastAPI for our backend stack because it combines speed with safety. We've delivered 50+ FastAPI projects since 2020, averaging 10 weeks per build.
Most Python developers don't know FastAPI's async internals. We do.
A generic Python shop might use Flask or Django with synchronous views. That means slower response times, no auto-generated docs, and manual validation code.
IRPR builds every API with FastAPI's async endpoints, Pydantic models, and automatic OpenAPI specs. Our APIs run 3x faster under load and ship with built-in documentation.
We ship production-grade FastAPI in 4 phases.
Each phase is designed to eliminate risk. You see running code after 2 weeks and have a fully documented API by week 6.
At handoff you get source code, CI/CD pipelines, Docker images, and a 30-minute operations walkthrough. No knowledge gaps, no hidden work.
Every API comes with production essentials.
We don't deliver prototypes. Every FastAPI backend includes monitoring, documentation, and deployment scripts so you can go live immediately.
Built a FastAPI service for a fintech startup that ingests market data from multiple exchanges. Reduced data latency from 500ms to under 20ms using async I/O and WebSocket streaming. Stack: FastAPI, Redis, PostgreSQL, Kafka.
Developed a FastAPI backend for a telemedicine platform handling patient records and video appointments. Achieved HIPAA compliance with encrypted data at rest and TLS 1.3. Reduced page load by 60% using async routes. Stack: FastAPI, SQLAlchemy, AWS RDS, SendGrid.
Built a unified API gateway using FastAPI for a SaaS company serving 200+ enterprise clients. Aggregated data from 5 legacy systems into a single RESTful interface. Cut integration time for new clients from 4 weeks to 3 days. Stack: FastAPI, Redis, Docker, Kubernetes.
Created a FastAPI service for an online retailer to manage 1M+ products with real-time inventory sync. Implemented caching with Redis that reduced database queries by 90%. Stack: FastAPI, Elasticsearch, PostgreSQL, Stripe.
Designed a FastAPI ingestion layer for a manufacturing company's IIoT sensors. Processed 10,000 data points per second with zero data loss using async workers and Kafka. Stack: FastAPI, Kafka, S3, Grafana.
Wrapped a machine learning model in a FastAPI service for a logistics optimization platform. Reduced inference latency from 2 seconds to 150ms using async workers and ONNX runtime. Stack: FastAPI, ONNX, Docker, AWS SageMaker.
Our team has delivered 30+ FastAPI projects since 2020. We know async patterns, Pydantic pitfalls, and how to optimize SQLAlchemy queries inside FastAPI's dependency injection.
We quote a fixed price after the Roadmap phase (week 2). Our average API build costs $80K-$250K, and we never exceed the agreed budget.
Every FastAPI project uses encrypted connections, audit logging, and role-based access. We've passed third-party audits for HIPAA and SOC 2 on 50+ projects.
Our average FastAPI project ships in 10 weeks. We use GitHub Actions for continuous deployment, so you see working endpoints every 2 weeks.
You own all source code, Docker images, and deployment scripts. We use open-source tools like PostgreSQL and Redis, so you can switch teams anytime.
Each API includes auto-generated Swagger docs, Prometheus metrics, Sentry error tracking, and a Discord alert channel. We don't hand over prototypes.
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.
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