API architecture
Design RESTful and GraphQL APIs that are consistent, versioned, and easy to integrate with.
Back-End Development
Stable systems behind smooth product experiences.
We build secure back ends, APIs, databases, and integration layers that make digital products reliable, scalable, and easier to operate.
What we do
Architecture that stays calm under pressure.
- API and database development
- Authentication and secure workflows
- Third-party integrations
- Performance, reliability, and maintenance planning
Outcomes
01
Cleaner data flow.
02
More reliable product operations.
03
Scalable foundations for future features.
120+Digital launches shaped
40+Product and web systems
9Specialist service tracks
2Global delivery locations
Comprehensive back-end development services
Everything needed to build a reliable server-side foundation.
Each engagement is shaped around the business model, user journey, technical needs, and the conversion moments that matter most.
Database design
Model data structures, relationships, and query patterns for performance and scalability.
Authentication and security
Implement secure auth, role-based access, data encryption, and compliance-ready workflows.
Third-party integration
Connect payment gateways, CRMs, analytics, email services, and external APIs seamlessly.
Performance optimization
Tune queries, caching, server config, and load handling for fast, stable response times.
Monitoring and maintenance
Set up logging, alerting, and regular maintenance so the system stays healthy over time.
How we build back ends
Data models, APIs, and infrastructure that stay cheap to change.
Back-end decisions are the ones that are expensive to reverse. We get the data model and the boundaries right before we write application code.
Domain and data modelling
Model the business domain properly — entities, relationships, invariants, and what must be historically accurate versus merely current.
API and service design
Define the API surface, versioning strategy, and service boundaries, with authentication and authorisation settled up front.
Service and job implementation
Build the application logic, background jobs, and integrations, with transactions and idempotency handled deliberately.
Hardening and observability
Add caching, rate limiting, query tuning, structured logging, tracing, and alerting before production traffic finds the gaps.
Documentation and handover
Ship API documentation, schema diagrams, runbooks, and a walkthrough so your engineers can extend it confidently.
Industries we build for
Systems where data integrity and uptime are not optional.
In these sectors a back-end defect is a compliance problem, not just a bug.
FintechSaaSLogisticsHealthtechProfessional services
Success stories
Server-side systems doing real work.
Back ends handling data volume, integrations, and reliability under production load.
Data quality platformSimpliData — Validation pipelines and data quality monitoring.
Observability backendMetricwise — Anomaly detection and system health services.
Real-time safety servicesTauken.ai — Low-latency proximity and collision detection.
Trading data backendCopyCrusher — Strategy analysis and market data processing.Back-end stack
Runtimes, data, and infrastructure.
Boring, well-understood technology that your future engineers can hire for.
Node.jsPythonGoJavaC#RubyPHPTypeScript
Delivery model
Documented, observable, and yours to run.
You receive the schema, the API reference, the runbooks, and the infrastructure definitions — not a zip file and a wish.
Back-end team modelling data, APIs, and infrastructure together
Modelling — Define the domain model, permissions, and API surface
View related work
API layer and data servicesBuild — Model, implement, instrument, and document
Useful reads
Backend scope, cost, and architectural trade-offs.
What drives the estimate on a server-side build, and how systems are wired together.
Common questions
An API and data layer for a focused product typically runs $15,000–$40,000. Complex systems with heavy integrations, background processing, or multi-tenant isolation run considerably higher. The estimate is driven by data model complexity and integration count, not by endpoint count.
Yes. Give us the front-end contract and we will build to it, producing the API reference up front so both sides can work in parallel. This is a common arrangement when an in-house team owns the interface.
PostgreSQL is our default and MySQL, MongoDB, and ClickHouse where the access pattern justifies them. Runtimes are Node.js, Python, Go, Java, or C# depending on your team's ability to maintain what we ship. We will not introduce a language you cannot hire for.
Through explicit integration layers — REST, GraphQL, webhooks, and queued jobs — with retries, idempotency keys, and dead-letter handling. Upstream failures are isolated so one flaky third-party API cannot take down your product.
Build the foundation
Need a stronger back end?
Bring us the idea, product, workflow, or brand moment. We will shape it into a premium experience built to launch, scale, and convert.
Start backend brief