Backends that stay fast under load.
From high-throughput APIs to event-driven microservices, we build the server-side systems your product runs on, with senior, AI-augmented engineers who own architecture, data and reliability end to end.
- Horizontally scalable
- Resilient by design
- Observable in production
Horizontally scalable
Resilient by design
Observable in production
Server-side systems, end to end.
One senior team across the full backend, from API contracts to the data layer and infrastructure.
REST & GraphQL APIs
Well-documented, versioned APIs with clear contracts your front-end and partners can build on with confidence.
Microservices
Independently deployable services with message queues and event streams that scale and fail in isolation.
Databases & data models
Schema design, indexing and tuning across SQL and NoSQL so queries stay fast as your data grows.
Third-party integrations
Reliable connections to payments, CRMs and legacy systems with retries, idempotency and webhooks.
Auth & authorization
Secure authentication, role-based access and token handling built in from the first endpoint.
AI-powered backends
LLM endpoints, vector search and inference pipelines exposed as clean services your apps can call.
How we build backends that last.
Model the domain first
We map your data, workflows and service boundaries before writing endpoints, so the architecture fits the business and stays easy to extend instead of fighting it later.
Scale & resilience
Caching, connection pooling, async jobs and graceful degradation are designed in early, because latency spikes and partial outages are where backends quietly lose users.
Observe & iterate
Logging, metrics and tracing ship with every service, and automated tests plus AI-assisted code review keep regressions out as the system grows.
A proven backend stack.
Backend questions, answered.
Monolith or microservices, which should we choose?
It depends on your team and load. We often start with a well-structured modular monolith and extract services only where scaling, ownership or deployment cadence actually demands it.
Can you scale or fix our existing backend?
Yes. We start with a performance and architecture audit, then address bottlenecks, slow queries, missing caching, fragile integrations, before adding new capability.
How do you keep APIs secure?
Auth and authorization, input validation, rate limiting, encrypted secrets and signed NDAs with isolated environments are standard on every backend we build.
Will the backend handle traffic spikes?
We design for it, load testing, caching, async processing and horizontal scaling, and ship observability so you can see and tune real production behaviour.
Need a backend that won't buckle?
Tell us what you're running, we'll propose an architecture and a senior team to build and scale it.