Service · Backend

The part users never see, and never should.

Backends, APIs, data models, queues, auth, and observability. The systems your product runs on when nobody is looking. We build them to stay fast and easy to own.

What this is

Architecture your team can build on for years.

Most backend trouble is bought at design time and paid back later. Bad data models, chatty contracts, queue patterns nobody trusts. We spend the plain hours up front so the system stays quiet in production.

Node and Laravel for the runtime. Postgres and MySQL for the data. Tools that are easy to hire for, easy to debug, and still normal in ten years.

We assume your engineers know their work. The handoff reads like notes from a peer, not a tutorial.

What we deliver

Services, contracts, and the plumbing between them.

A backend engagement covers the whole stack under the product, not just the layer in front of the database. We design it, build it, document it, and leave it in a state your team can extend without booking a meeting first.

  • Service designBoundaries that match how the business actually changes, not how the org chart looked last year.
  • Data modelsSchemas that survive feature drift. Indexes, constraints, and migrations reviewed before they ship.
  • APIsREST or GraphQL, versioned, typed end to end, with contracts your frontend can trust.
  • Queues and jobsBackground work that retries correctly, fails loudly, and never silently drops a payment or a push.
  • Auth and accessSessions, tokens, roles, audit trails. Boring and correct.
  • ObservabilityLogs, metrics, traces. If it breaks at 3am, the on-call person knows where to look in under a minute.
Approach

Migrations that protect production.

Most backend work we get called into is not greenfield. It is a system that already runs the business, and the business does not pause while we work.

We migrate in slices. Dual-write where it helps, shadow reads where it does not, feature flags for anything touching money or identity. Rollback is a button, not a war room.

We have moved an ERP off legacy installs and disconnected spreadsheets without losing a day of operations. We have kept a social feed serving traffic while reshaping the ranking pipeline underneath. Same playbook either way: small steps, reversible, observable.

Stack

We pick by fit, not fashion.

Node when the workload is async-heavy or shares types with a TypeScript frontend. Laravel when the team values convention and a deep batteries-included ecosystem. Postgres by default. MySQL when an existing system or hosting reality calls for it.

We do not reach for Kafka because a blog post said so. We do not shard before we have to. We do not introduce a fourth language to a three-language team. Every piece of infrastructure has to earn its place.

Track record

Real load, not hello-world demos.

We have built backends behind social products, logistics fleets, internal ERPs, and financial platforms. Feed ranking, push fan-out, offline sync, audit trails, and abuse controls are not abstract problems to us.

Across the studio, that is 100+ products shipped, 50+ clients served, 100M+ downloads, and $25M+ in supported revenue. The systems underneath had to hold up.

Backend · Start here

Tell us what the system has to do.

Send the shape of the problem: current stack, current pain, and what the system needs to do in two years. We'll reply with fit, questions, and a practical path forward.