We design, build, and optimise production-grade GraphQL APIs for future-thinking clients - tightly integrated with Next.js frontends and Node.js backends, shipped faster at every stage.
GraphQL is a query language for APIs and a server-side runtime developed by Facebook in 2012 and open-sourced in 2015. It has since become the go-to standard for teams building complex, data-intensive web applications that demand flexible, high-performance data access.
The graphql npm package now clears over 40 million weekly downloads, with the reference graphql-js implementation holding 20,000 GitHub stars.
Unlike REST, which forces clients to work around rigid, fixed endpoints, GraphQL lets clients request exactly the data they need - nothing more, nothing less. This precision eliminates over-fetching and under-fetching in a single stroke, reducing payload sizes, cutting unnecessary database load, and making your application dramatically faster.
At Dev and Deliver, GraphQL lives at the centre of our full-stack approach. On the backend, we build Apollo Server 4 and GraphQL Yoga APIs on Node.js, with schema-first or code-first design using NestJS's native GraphQL module and TypeGraphQL. On the frontend, we connect those APIs to Next.js applications using Apollo Client, fully integrated with the App Router and React Server Components. The result is a type-safe, end-to-end system where your data contract is defined once and trusted everywhere.
Whether you're migrating a legacy REST API, building a new SaaS product, or powering a headless CMS-driven website, GraphQL gives your team a scalable, maintainable architecture that grows with your business.
The benefits of choosing GraphQL for your application
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We design clean, scalable GraphQL schemas from the ground up - whether schema-first with SDL or code-first with NestJS and TypeGraphQL. We define clear type hierarchies, resolve relationships intelligently, and build APIs that are easy for frontend teams to consume from day one.
Our engineers set up production-ready GraphQL servers using Apollo Server 4 or GraphQL Yoga on Node.js - with authentication, rate limiting, persisted queries, and DataLoader for N+1 prevention. We configure everything for real-world scale and observability through Apollo Studio.
We wire Apollo Client directly into your Next.js App Router, supporting both Server Components and Client Components. Using the official @apollo/client-integration-nextjs package, we ensure efficient SSR and streaming, correct cache hydration, and a seamless developer experience across your full stack.
We configure GraphQL Code Generator to automatically produce typed hooks, operations, and resolver signatures from your schema. Every query and mutation in your codebase is type-safe - without manual overhead. This is the standard for high-quality GraphQL projects in 2026.
We implement GraphQL subscriptions over WebSockets for live dashboards, notifications, collaborative tools, and streaming UI. Our Node.js expertise means the real-time layer is reliable, scalable, and production-tested - not bolted on as an afterthought.
For complex platforms with multiple services, we implement Apollo Federation to compose a single unified graph. Each team owns their subgraph; the gateway stitches them transparently. Your API scales with your organisation - no monolith lock-in required.
We apply persisted queries, depth limiting, query complexity analysis, and field-level authorization to make your GraphQL API production-safe. We audit existing schemas for over-exposure, N+1 risks, and resolver inefficiencies - and fix them with targeted, measurable improvements.
We support existing GraphQL APIs, migrate REST endpoints to GraphQL incrementally, and maintain schema health over time. Whether you need a dedicated GraphQL team or a specialist embedded in your existing squad, we adapt to how you work.
Where and how companies use GraphQL in production - from e-commerce platforms with complex product catalogues, to SaaS dashboards pulling from multiple data sources, to headless CMS setups with Next.js frontends - the pattern is consistent: GraphQL gives teams speed, flexibility, and confidence at scale. GitHub, Shopify, Twitter, and The New York Times all made the switch. It's not an experiment. It's the standard.
No-nonsense schema advice
We build long-term relationships, not one-off engagements. You get transparency, honest architecture advice, and a team that challenges decisions when they matter.
One schema, one team, no handoffs
Our GraphQL expertise spans the full chain - from schema design and Node.js resolvers to Apollo Client in Next.js. No handoffs, no gaps, no integration surprises.
Broad schema experience
Our engineers have shipped GraphQL in SaaS products, e-commerce platforms, and real-time tools across multiple industries. That breadth shows up in every schema decision.
Type-safe, schema to client
Type-safe codegen, automated tests on resolvers, schema linting, and performance profiling are part of how we ship - not features we add later when things go wrong.
Every GraphQL engagement starts with matching the right people to your schema's complexity: a backend engineer owning schema design and resolvers, a frontend engineer wiring up Apollo Client in Next.js, a QA engineer stress-testing data contracts, and a project manager keeping delivery on track.
Sprints are short, reviews are regular, and schema changes go through the same scrutiny as production code - your API grows without breaking the contracts your clients depend on.
Get started with GraphQL - build your API with the team that knows the full stack
Ready to move beyond REST? Whether you're starting a new product, modernising a legacy API, or adding real-time capabilities to an existing Next.js application - we'll help you design a GraphQL architecture that's clean, type-safe, and built to last. Let's talk about your data layer.
GraphQL is a query language for APIs that lets clients request exactly the data they need - no more, no less. Unlike REST, which uses multiple fixed endpoints, GraphQL exposes a single /graphql endpoint and eliminates over-fetching and under-fetching of data, resulting in faster, leaner applications.
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