The systems your users never see but depend on constantly
The backend handles product logic, permissions, workflows, integrations and data. We select backend technologies based on complexity, scale, existing infrastructure and the development model required.
- We choose technology based on the product, team and business problem
- The stack serves the product — not the other way around
- Node.js
- Python
Core technologies
What we use in this category
Best for: Async workloads, webhooks
Cloud Functions
Event processing without managing persistent servers.
Best for: Integrations, mobile, web
REST APIs
Clear HTTP contracts between clients and services.
Best for: Complex client data needs
GraphQL
Flexible querying when clients need shaped data graphs.
What we build
Backend that matches the workload
We do not default to the same backend for every product. Node.js, Python, Firebase and serverless each win for different constraints — and we will say when a simpler SaaS product is better than building at all.
- API design
- Authentication
- Permissions
- Workflow engines
- Payment processing
- Background jobs
- AI orchestration
- Third-party integrations
- Event processing
- Data synchronization
FAQ
Questions teams ask
Straight answers on stack choices, fit, and how we engage.
Node.js is excellent for APIs and TypeScript-aligned teams. Python is often stronger for AI, data processing and automation. Many products use both.
No. Firebase is strong for rapid SaaS and real-time products. Complex relational workloads or certain enterprise constraints may call for PostgreSQL or another architecture.
Yes. We assess the codebase, stabilize delivery, and either modernize in place or plan a staged migration.
Next step
Discuss your backend architecture
Share the workload, integrations and scale you expect. We’ll recommend what to build — and what not to.
Discuss my project