FastAPI & Django backends
Production APIs and backend applications with typed contracts, authentication, validation and maintainable service boundaries.
ExploreWe build Python backends, APIs, automation and data services for products where asynchronous processing, integrations, AI workloads or data-heavy workflows need a dedicated engineering layer.
Python does not have to replace the rest of the stack. It can operate as the main backend or work alongside Laravel and PHP where each technology owns the part of the product it handles best.
A Python service can power the complete product or handle specialized workloads such as AI, document processing, data transformation, automation and high-volume API operations.
Production APIs and backend applications with typed contracts, authentication, validation and maintainable service boundaries.
ExploreScheduled workflows, background jobs, data movement and external-system automation designed to recover safely from failure.
ExploreETL and processing workflows with validation, retries, monitoring and clear data ownership.
Python services for RAG, agents, embeddings, document processing, evaluation and model orchestration.
ExploreFor hybrid systems, Laravel can own users, permissions, billing and product workflows while Python handles AI, automation or data workloads through explicit APIs and queues.
FastAPI or Django backend architecture
REST APIs and integration services
Automation and scheduled workflows
Background jobs and queue processing
Data pipelines and validation
AI and model-service integration
Testing, deployment and monitoring
Laravel/PHP interoperability where required
Both. FastAPI is often a strong fit for APIs and specialized services, while Django can be useful when a product benefits from its broader application framework and administration capabilities.
Yes. A Python service can handle AI, automation or data processing while Laravel remains the core product application.
The focus is production software: validation, authentication, retries, logging, monitoring, testing and deployment are part of the architecture.
We can turn the workflow into a production service with explicit APIs, operational controls and an architecture that fits the rest of your product.