Cloudnonic designs, builds and runs backend systems and APIs for companies that need a platform other systems can depend on: partner integrations, multi-tenant products, regulated data. Senior engineers own the domain model, the API contracts, the security and the operations as one responsibility, in NestJS, FastAPI, Laravel or Rails on PostgreSQL and AWS. Done means the system is in production, monitored, and your team can change it.
Case studies in this scope. Every figure comes from the study behind it.
NestJS
Next.js
PostgreSQL
AWS
Terraform
Python
ReactAWSPythonReactAWS
FastAPIReactPostgreSQLAWS LambdaTerraform
LaravelReactLaravelReact
Ruby on Rails
React Native
App Store
Google Play
Backend work runs as a product team when we own the whole platform, or as an embedded team inside your engineering organisation when you already have one. In both cases the engineers who scope the system are the ones who run it, which is how estimates stay honest and incidents stay rare.
Your product team · What this prevents: A prototype that never becomes a platform, and a CTO hire made before the product deserves one.
The two engagement models →Chosen per project. We pick what your team can run after us, not what is fashionable.
NestJSFastAPILaravelRuby on RailsPostgreSQLAWSAWSPostgreSQLRuby on RailsLaravelFastAPINestJSEndpoints are added per feature, each returning what one page needs, and the second consumer, a partner or a mobile app, cannot use any of them.
A rewrite of the API layer when the first integration is sold, usually under deadline.
We model the domain first and design the contracts for the consumers you plan to have, with versioning from the start.
The payment provider times out, the partner API changes a field, and the system either double-books or silently drops the request.
Reconciliation by hand, refunds, and a partner who stops trusting the integration.
Every external boundary gets retries, idempotency keys, dead-letter handling and an alert, and we test the failure path before the happy path.
Audit trails, access rules and data residency are retrofitted when an enterprise customer or a regulator asks.
A blocked deal while the platform is reworked, and findings that need architectural changes under pressure.
Access control, audit logging and data residency are architecture decisions in the first weeks, documented so the review is a reading exercise.
NestJS on TypeScript and FastAPI on Python for new platforms, Laravel and Ruby on Rails where a client's system already runs on them, PostgreSQL as the default database and AWS as the default cloud. The choice is made per project, and we document why.
Yes, as an embedded team. We start with a review of the architecture, the deployment and the risks, agree what to stabilise first, and then work inside your repositories, standups and review process.
Documented contracts, versioning from the first release, backwards-compatible changes by default and a deprecation policy for the rest. Consumers are tested against the contract in the pipeline.
We do, until your team can and wants to. Pipelines, monitoring, on-call and backups are part of the engagement, and everything is in your accounts and your repositories from day one, so there is no lock-in.
Every service on this page is delivered with our AI-Native process: specs as the source of truth, agents in the pipeline, and a named engineer signing off at staging.
How we build with AI →
