We build high-performance APIs with FastAPI. Get a production-ready MVP in 8-12 weeks, fixed price.
IRPR is an expert FastAPI development firm. We build backend systems using FastAPI, Python 3.12, Pydantic v2, SQLAlchemy 2.0, and async PostgreSQL. Every API is designed for high concurrency and automatic OpenAPI documentation.
We ship production-ready FastAPI applications in 8 to 12 weeks. Pricing is fixed from $80K to $250K depending on scope. Our APIs pass HIPAA, PCI-DSS, and SOC 2 compliance checks before release.
CTOs hire us to replace slow Django monoliths. SaaS founders need a FastAPI microservices foundation. Fintech companies require PCI-compliant payment APIs. Healthcare firms need HIPAA-safe data endpoints.
Full RESTful API built with FastAPI, Pydantic models, and async SQLAlchemy. Includes JWT auth, rate limiting, and Swagger docs.
Decoupled FastAPI services communicating via RabbitMQ or Kafka. Each service is independently deployable and scalable.
WebSocket endpoints using FastAPI's native support. Used for live chat, notifications, and real-time data streaming.
GraphQL API powered by Strawberry or Ariadne, backed by FastAPI resolvers. Unifies multiple data sources into one endpoint.
ETL pipelines with FastAPI as the orchestration layer. Integrates with AWS S3, Snowflake, and Apache Spark.
API wrappers for Stripe, Salesforce, HubSpot, Twilio, and 100+ other services. Built with retry logic and idempotency.
FastAPI backend for admin panels with role-based access control (RBAC), audit logs, and CSV/Excel export.
FastAPI endpoints serving machine learning models using ONNX Runtime or TensorFlow Serving. Sub-100ms latency.
FastAPI is fast, but building production-grade APIs requires deep experience with async patterns, database optimization, and deployment.
IRPR has shipped over 200 products using FastAPI since version 0.45. Our senior engineers wrote production code for Python 3.12 async features and Pydantic v2 validation. We know the edge cases: connection pooling under load, lazy loading with SQLAlchemy 2.0, and caching with Redis.
Every FastAPI project includes automatic OpenAPI docs (Swagger + ReDoc), request validation with Pydantic, and background task management with Celery or ARQ. We deploy on AWS ECS or Kubernetes with auto-scaling based on CPU and memory metrics.
Many agencies claim FastAPI expertise but cut corners on async correctness, testing, and deployment.
Generic shops treat FastAPI like Flask with decorators. They miss async context managers, dependency injection patterns, and proper lifespan management. The result: slow endpoints, memory leaks, and broken Swagger docs.
IRPR follows FastAPI best practices from the ground up. We use async generators for database sessions, structlog for structured logging, and pytest-asyncio for full test coverage. Every API is benchmarked with locust before release.
We deliver production-grade FastAPI applications in four phases, each with clear milestones and client sign-offs.
Phase 1 (Idea): We map your API requirements to FastAPI routes, models, and integrations. You get a detailed specification with endpoint signatures and data schemas.
Phase 2 (Roadmap): We design the async architecture, choose the database (PostgreSQL, MongoDB, or DynamoDB), and set up the CI/CD pipeline. Fixed price is locked in week 2.
When you hire IRPR as your expert FastAPI development firm, you get a complete backend system, not just code.
Every delivery includes source code, infrastructure as code, and documentation. We never hand over a half-finished API.
Built a FastAPI backend for a B2B SaaS platform handling 10,000+ subscribers. Integrated Stripe Billing, sent usage-based invoices, and reduced billing errors by 95%. Stack: FastAPI, PostgreSQL, Stripe, Celery.
Developed a FastAPI API for a telemedicine startup to exchange EHR data with Epic. Achieved HIPAA compliance with audit logging and encryption. Reduced data sync time from 30 minutes to 45 seconds. Stack: FastAPI, FHIR, AWS KMS, PostgreSQL.
Created a FastAPI microservice for a fintech company to score transactions in under 100ms. Integrated with a machine learning model served via ONNX Runtime. Prevented $2M in fraudulent transactions in the first quarter. Stack: FastAPI, ONNX, Redis, Kafka.
Built a FastAPI backend for an ecommerce platform serving 500+ merchants. Each tenant has isolated data and custom pricing rules. API handles 5,000 requests/second during Black Friday. Stack: FastAPI, PostgreSQL (schema-per-tenant), Redis, AWS ECS.
Designed a WebSocket-based FastAPI service for a logistics company to track 10,000+ shipments in real time. Integrated with GPS devices and warehouse scanners. Reduced manual tracking by 80%. Stack: FastAPI WebSockets, MongoDB, Kafka, Mapbox.
Built a FastAPI backend that processes 1 million posts per day through a moderation pipeline. Uses AWS Rekognition and custom NLP models. Automated 70% of moderation decisions. Stack: FastAPI, AWS Rekognition, Celery, PostgreSQL.
Every engineer on your project has 5+ years of Python experience and has shipped at least 3 production FastAPI applications. We do not outsource or use junior developers.
You get a fixed price quote after the Roadmap phase (week 2). No surprise invoices. Our average FastAPI project costs $80K to $250K depending on scope.
We ship a production-ready FastAPI API in 8 to 12 weeks. 98% of our projects finish on time. You can start generating revenue faster.
You own every line of code. We put the source code in your GitHub repository from day one. No licensing fees or black boxes.
We build FastAPI APIs that pass HIPAA, PCI-DSS, and SOC 2 audits. Our infrastructure includes encryption at rest and in transit, audit logs, and access controls.
We deploy your FastAPI application on auto-scaling infrastructure with monitoring and alerting. Our SLA guarantees 99.9% uptime for production APIs.
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.