
FastAPI development company
We build FastAPI backends, APIs, and Python-based systems for products that need speed, clean structure, and real-time behavior with lots of users hitting the system at once.
Why Choose FastAPI for Your Project
FastAPI is a strong default for modern Python backends. It works especially well for AI products, microservices, real-time features, and APIs where performance and developer speed both matter.

High performance
FastAPI is one of the fastest Python frameworks around. Its native async support helps the app handle many requests at the same time without blocking the whole system.

Self-documenting APIs
FastAPI generates interactive API documentation automatically. Frontend teams, mobile developers, and external partners can see how the API works without waiting for someone to update a separate document by hand.

LLM ecosystem
FastAPI fits AI products well. It works nicely for streaming responses, LLM integrations, background processing, and services that connect models, data, and user-facing features.

Dependency injection system
FastAPI makes it easier to manage shared logic: database connections, authentication, permissions, settings, and reusable services. Less repeated code. Fewer strange little fixes hiding in different endpoints.

Built-in type safety
FastAPI uses standard Python type hints and Pydantic validation. For developers this means better auto-complete, clearer contracts, and fewer bugs caused by wrong data shapes or simple typos.

Real-time features
FastAPI supports WebSockets, streaming, and async workflows, which makes it useful for chats, dashboards, notifications, AI assistants, and products where users expect updates right away.

FastAPI is one of the fastest Python frameworks around. Its native async support helps the app handle many requests at the same time without blocking the whole system.
Let’s bring your ideas to life with React.
Backed by 150+ specialists and 19 years of results

Why partner with
our FastAPI team?
We help you turn product ideas into backends that are fast, readable, and ready for change. You can come to us with a rough MVP plan, an existing Python product, or a system that needs better API structure.
40
FastAPI projects built
Built through real production cycles
We know where backend projects usually get tricky: data models, authentication, integrations, background jobs, performance, and release setup. We plan for those parts early so they do not slow the product down later.
10
Years building with FastAPI
End-to-end, hands-on delivery
We work with the whole product, not just a list of endpoints. API design, backend logic, database structure, testing, deployment, and support all affect each other, so we keep those decisions connected.
20
In-house experts
Dedicated internal team
The work stays in-house. Developers, QA engineers, designers, and project leads keep the same context, so decisions are made by people who know the product.
AI-driven FastAPI app development
We build AI-powered features with FastAPI, including image recognition, voice input, smart search, content processing, chat interfaces, and streaming LLM responses. The goal is to make the feature useful, not just add AI because it looks good on a slide.
Faster API design
Shape routes, schemas, and edge cases before development phase
AI-ready integrations
Connect AI in a way that keeps the API ready for real product use
Better testing
Cover common scenarios faster, while devs focus on reliability
Practical AI features
Add features like smart search, voice input, or image recognition
Our FastAPI development services
We build FastAPI products from idea to launch or step into an existing product when the backend needs more structure, speed, or support. The scope depends on your product stage, integrations, data, and security needs.
MVP API development
We build MVP APIs from scratch around your core product idea. It is centered around the workflows, data, and integrations.
Backend development
FastAPI makes a good base for clean backend logic, database work, authentication, documentation, and async processing. We use it to build systems that stay easy to use.
Third‑party integrations
We connect products with payment gateways, cloud services, AI tools, CRMs, analytics platforms, and internal systems. FastAPI’s documentation also makes it easier for other teams.
API documentation and testing
FastAPI creates API docs automatically, but we still treat documentation as part of the product. We also add tests.
Microservices architecture
We use FastAPI with Docker, Kubernetes, and CI/CD to build microservices when the product actually needs them. We help pick the setup that fits the team.
Deployment and hosting
We deploy FastAPI apps on AWS, GCP, Azure, or another cloud setup that fits the project. Docker helps keep environments consistent.
Industry awards & recognitions
Shakuro is recognized by platforms like Clutch, GoodFirms, and Dribbble for building high-quality SaaS platforms.
Benefits of FastAPI for your business
We've selected FastAPI as our tool of choice for a reason, or at least, a few reasons. The framework is packed with many benefits, which we utilize. Speed and stability, type hints, sound design, less boilerplate, etc. Our opinion is that these features are essential in order to deliver bespoke APIs for performance-oriented but robust apps that contain real-time capabilities.
You get a solid asynchronous programming interface for your next app quickly, without losing resources and time.
- High performance with asynchronous processing
FastAPI relies on Python's async/await syntax, which gives it an asynchronous nature. It generates low-latency API responses, and the interface handles multiple requests at once. That's why we use it for applications that require handling real-time data and high throughput.
- Affordable development and faster time-to-market
It significantly reduces boilerplate code. In addition, type hints offer robust typing and automated documentation with webhooks and callbacks, which is extremely convenient. On the whole, it quickens the development cycles and decreases overall project costs.
- Robust security features
There is built-in support for standards such as OAuth2, JWT authentication, and dependency injection input validation. This allows us to develop robust protection against common threats such as injection attacks and unauthorized access.
- Future-proof with an active ecosystem
Despite being relatively young, FastAPI already has a wide community. Compatibility with general Python tools is only growing, as well as libraries. The framework still possesses long-term maintainability and flexibility. Therefore, it's easy for us to adapt as your project evolves.
Our process for FastAPI projects
We keep the process clear, but we do not pretend backend work is perfectly linear. Product needs change, integrations bring surprises, and data models usually get sharper once the team sees the first version working.
Requirement analysis
We clarify the product goals, user flows, data models, endpoints, authentication, roles, integrations, and expected load.
API design
We select the correct API architecture: REST, WebSockets, GraphQL, or a combination. We also consider versioning, error handling, rate limiting.
Development
We write readable FastAPI code and integrate it with databases, external APIs, legacy systems, background workers or AI services.
Testing
We test endpoints, integrations, authentication, edge cases, and performance. For high-load products, we add load testing.
Deployment
We set up the environment, set up hosting and containers, and deploy the backend with monitoring in place.
Maintenance
We handle updates, bug fixes, performance tuning, dependency checks, new features, and support for the next phase of the product.
Our real-world case studies
Crafting Symbolik Social: a financial community platform
Designing and developing an intuitive social experience for market professionals, enabling real-time collaboration and discussions.
Shakuro does a phenomenal job at asking the right questions, and by understanding our needs, they define what needs to be created.T.J. DeMarkPresident, Symbolik
Designed and developed a virtual classroom platform
Discover how we helped CG Master Academy unlock their business potential and become the leading provider of online digital art education, creating a superior virtual learning environment.
The team's timely, cost-effective, and consistent high-caliber work sets them apart.Manny FragelusOwner & CEO, CG Master Academy
Aurox: Premier Web 3.0 ecosystem & trading terminal
Aurox is a leading cryptocurrency trading terminal, market cap website, and issuer of the $URUS token powering an advanced lending and trading system.
The Aurox ecosystem and the brand itself is a mixture of bullish energy, freedom intrinsic to DeFi, and fun you won’t meet in a corporate project. Despite crypto businesses being prone to change, Aurox is really persistent as a brand and the customers feel it.Moses KimCreative Producer
Industries
Our diversified expertise touches numerous industries, so we deliver impeccable products that meet your requirements and cater to your users.
Convenient ride-sharing solutions and complex fleet management software to strengthen your services.
Complex vehicle tracking systems and precise remote diagnostics to widen your transport network.
Gamers for gamers: dependable multiplayer game platforms and immersive AR/VR gaming experiences.
Medical software solutions, telemedicine platforms, and health record systems that help you treat patients.
Reliable digital banking systems, payment processing apps, and financial tracking tools for growing operations.
Personalized, immersive online course platforms and virtual classroom solutions that engage students.
Robust, engaging social media apps and community networking sites with user-generated content.
Cost-efficient, flexible cloud-hosted applications, and on-demand service platforms that are easy to scale.
Decentralized web apps and crypto wallet services aimed at financial growth with tools for newbies & pros.
Property listing websites and real estate CRM systems with intuitive design for clear data management.
Easy-to-manage and load-resilient online shopping portals and e-marketplace platforms.
Smart automation tools and predictive analytics systems integrated to speed up complex operations.

Our expertise in FastAPI development
We build FastAPI backends for products that need clean APIs, high performance, and reliable data handling. The stack changes from project to project, but the goal stays the same: make the backend useful now and manageable later.

Frameworks
FastAPI is the core of our backend stack for high-performance Python APIs. It supports async processing, automatic docs, and strong validation with Pydantic. If the product needs background work, streaming or production-ready deployment we also use Starlette, Uvicorn and other supporting tools.

Integrated technologies
We connect FastAPI to the tools your product needs:
• Databases: PostgreSQL, MongoDB, Redis, and Neo4j
• Frontend: React and Vue
• Infrastructure: Docker, Kubernetes, AWS, GCP, and Azure
• Async work: Celery, task queues, and background workers
This setup enables products to scale to more users, more data, and more integrations while remaining easy to maintain.
Security
We build security into the backend from the start: encrypted data transfer, role-based access, OAuth2, JWT authentication, input validation, dependency checks, and regular audits. FastAPI gives a strong base, but the real value comes from using it carefully.
What clients say about working with us
Is FastAPI a good choice for a startup MVP?
Yes, especially if your MVP requires an API, AI functionality, real-time behaviour or a backend that might scale quickly. FastAPI helps teams build the first version fast without giving up structure.
Can FastAPI handle product growth?
Yes, if the system is planned well. FastAPI is fast, but scalability also depends on database design, caching, background jobs, infrastructure, monitoring, and API structure. We think through those parts before growth becomes a problem.
Can you build an AI product with FastAPI?
Yes. FastAPI is great for AI backends, LLM integrations, streaming responses, smart search, image or voice processing and data-heavy workflows. It is a pragmatic choice when the AI feature has to integrate with real product logic.
Do we need a full technical specification before starting?
No. A rough idea, feature list, or product problem is enough for the first conversation. We can help define the API scope, choose the first features, plan the backend, and prepare a development roadmap.





