Backend Development

REST APIsGraphQL APIsMCPWebhooksEvent-driven systems

Most backend problems aren’t hard because the code is hard — they’re hard because the requirements are fuzzy, the integrations are numerous, and the system has to keep working while you change it. We design backend architecture that fits the actual problem, not the fashionable one, and we build it to be maintained by someone other than us.

What we build

REST and GraphQL APIs, webhook-driven integrations, event-driven systems, and the administration interfaces that go with them. We work equally comfortably in a monolith, a set of microservices, or whatever mix fits the team maintaining it afterwards — architecture should serve the people running it, not the other way round.

Evidence, not claims

We don’t just talk about backend architecture — we run our own in production. Pixicular, our B2B image-analysis SaaS, is built on a Fastify REST API with multiple ML-powered analysis endpoints, so we’ve made the same latency, error-handling and API-versioning decisions we’d make for a client. Datingular API, a backend platform for dating and social apps, pairs a public REST API with a full administration interface and built-in fraud prevention that continuously assesses user identity, input and uploaded assets — the kind of trust-and-safety logic that has to be right the first time, because it’s guarding the rest of the platform.

How we work

We start from the integrations and failure modes, not the framework. That means mapping what has to talk to what, what happens when a downstream service is slow or down, and where the data actually needs to live — then choosing REST, GraphQL, or an event-driven approach based on that, not on habit. Recent work has also meant wiring AI directly into backend workflows: connected pipelines that call out to model APIs as part of a request, rather than as a bolted-on side feature.

What you get

A backend you can hand to another engineer without a debrief. That means documented APIs, sensible error handling, tests where they earn their keep, and infrastructure-as-code so the environment isn’t a mystery. If you already have a backend and it’s the thing slowing you down, we’re just as happy auditing and improving what exists as building new.

If cloud hosting, CI/CD, or serverless deployment is part of the picture, see Cloud & Infrastructure and Serverless & Edge — we design the API and the infrastructure it runs on together, not as separate conversations.

Related work

An advanced photo analysis API — age verification, gender detection, object and facial detection — with full history and preview.

AI Service

A comprehensive backend platform for online dating websites and apps — REST API, WebSockets for real-time chat, and a full administration system.

Dating Platform

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