We build production-grade FastAPI backends in 8-12 weeks. Fixed pricing with senior engineers and full code ownership.
IRPR builds high-performance, asynchronous APIs using FastAPI paired with Pydantic for validation, SQLAlchemy for database access, and Redis for caching. Every project follows a strict async-first architecture that handles thousands of concurrent requests without blocking.
We deliver a fully functional FastAPI backend in 8-12 weeks with a fixed price between $80,000 and $250,000. The project includes automated API documentation via OpenAPI, integration tests with pytest, and CI/CD configured on GitHub Actions. For regulated industries, we support SOC 2, HIPAA, and PCI-DSS compliance.
CTOs who need a scalable backend for their platform hire us. Product founders launching an MVP with Python hire us. Enterprise teams migrating from legacy synchronous services hire us. Startups building real-time data pipelines hire us.
Build CRUD APIs with FastAPI, SQLAlchemy, and PostgreSQL. Auto-generated OpenAPI docs. Role-based access control built-in.
Combine FastAPI with Strawberry GraphQL for strongly typed, self-documenting APIs. Real-time subscriptions via WebSockets.
Build low-latency WebSocket servers using FastAPI's async support. Used for live chat, notifications, and streaming data.
Process large event streams with FastAPI, Apache Kafka, and async workers. Handles 100k+ events per second on a single node.
Implement OAuth2, JWT, and SAML flows with FastAPI. Integrates with Okta, Auth0, and Azure AD.
Wrap Stripe, Braintree, or Adyen with a FastAPI gateway. PCI-DSS compliant, idempotent endpoints, and webhook verification.
Deploy PyTorch or TensorFlow models behind FastAPI endpoints. Sub-10ms inference latency using async batching and GPU support.
Connect Salesforce, HubSpot, or SAP to your FastAPI backend. Unified API layer with rate limiting and event sync.
FastAPI delivers measurable performance gains over traditional Python frameworks.
FastAPI is built on Starlette and Pydantic, enabling automatic request validation and serialization. In our benchmark tests, a simple FastAPI CRUD endpoint handles 2,500 requests per second on a single t3.medium instance, compared to 1,200 for Flask and 900 for Django REST Framework.
The async-first design means you don't need a separate worker pool for I/O tasks. One FastAPI process can serve 50+ database queries and 10 external API calls concurrently. This reduces your infrastructure cost by up to 40% compared to sync frameworks.
Most agencies bill hourly and dodge scope. We do the opposite.
A typical dev shop gives you a vague estimate, charges hourly, and asks for more money when new requirements surface. They often use a junior team and deliver undocumented APIs.
IRPR gives you a fixed price after a 2-week Roadmap phase. You get senior engineers (10+ years experience), a fully documented OpenAPI spec, automated tests, and a CI/CD pipeline. No surprises, no hourly billing.
We follow a structured 4-phase framework from idea to production.
Every FastAPI project at IRPR moves through four fixed phases. You know exactly what you get at each step, and you can stop after any phase if you change direction.
The timeline is always 8-12 weeks total. All phases include the same team: a tech lead, two senior engineers, and a QA engineer.
We don't just hand over code. You get a production-ready system with everything needed to maintain it.
Every IRPR FastAPI project includes the full source code, infrastructure-as-code, and monitoring tools. Your team can take over immediately.
Built a FastAPI backend that handles Stripe webhooks, subscription plans, and usage metering. Reduced billing errors by 90% and cut API response time from 400ms to 30ms. Stack: FastAPI, PostgreSQL, Redis, Stripe.
Developed a FastAPI service for a telehealth platform to handle patient registration, insurance verification, and appointment scheduling. Achieved HIPAA compliance with encryption at rest and in transit. Stack: FastAPI, SQLAlchemy, AWS KMS, Auth0.
Created a WebSocket-based tracking API using FastAPI that pushes driver location and delivery status to 10,000 concurrent users. Reduced customer support calls by 35%. Stack: FastAPI, Redis Pub/Sub, Google Maps API, MongoDB.
Deployed a FastAPI endpoint that takes text/images and returns moderation scores from a TensorFlow model. Handles 5,000 requests per second with sub-50ms latency. Stack: FastAPI, TensorFlow Serving, Kafka, Cloudflare R2.
Built a PCI-DSS compliant FastAPI wrapper around multiple payment processors (Stripe, Adyen, PayPal). Unified API eliminated 60% of integration code. Stack: FastAPI, Celery, Redis, Vault for secrets.
Designed a FastAPI backend supporting 500+ schools with isolated data per tenant. Automated onboarding reduced setup time from 2 weeks to 1 day. Stack: FastAPI, PostgreSQL (schema per tenant), Redis, AWS S3.
Every FastAPI project is staffed with engineers who have 10+ years of Python and backend experience. We don't use junior developers. The tech lead codes alongside the team, not just manages.
After the 2-week Roadmap phase, we give you a single fixed price. No hourly billing, no change orders. If the scope grows, we discuss it openly and re-quote. You never pay for extra iterations.
You own every line of code from the first commit. We push to your repository. There are no licensing fees, no ongoing royalties, and no locked-in proprietary frameworks.
We use FastAPI's native async capabilities from the start. Your API can handle thousands of concurrent database calls and external API requests without needing extra worker processes.
Most FastAPI projects deliver in 8-12 weeks. We break the work into 2-week sprints with visible milestones. You see a working API in staging by week 4.
Every project includes 30 days of post-launch support with a dedicated engineer. We fix bugs, answer questions, and help your team take over. Extended support contracts available at $5,000/month.
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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