Seven things Cloudnonic does for clients, each delivered by a senior team that owns the result in production. Pick the one that matches your problem; the engagement models are the same for all of them.
Cloudnonic designs product interfaces for founders and product teams who need screens that ship, not a deck. The same senior engineers who will build the product run the design work: user flows, information architecture, a design system and production-ready screens in Figma, checked against the data model and the APIs before anyone writes a line of UI code. It is offered on its own for a defined scope, or as the first weeks of a product engagement.Read more →
Cloudnonic designs, builds and runs AI agents and LLM integrations for companies that want a process automated end to end rather than a demo. We work on n8n and Dify for workflow and support agents, and in Python with LangChain, LangGraph and LlamaIndex when the agent is part of a product. Every agent ships with an evaluation set, guardrails, logging and a senior engineer who is accountable for it in production.Read more →
Cloudnonic builds iOS and Android apps for companies whose product has to work in the field, in a clinic or in a classroom as well as in a browser. We build in React Native and Expo, or natively in Swift and Kotlin when the product calls for it, on top of a backend we own or integrate with, so the app, the API and the infrastructure are one responsibility: one team, one release cadence, app store publishing and production support included.Read more →
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.Read more →
Cloudnonic designs, builds and operates AWS infrastructure for the products we build and for companies whose platform has outgrown what one engineer set up by hand. Everything is infrastructure as code in Terraform, deployed through automated pipelines with health checks and rollback, monitored, and backed up in a way that is tested by restoring. We run it with a named engineer on call, and we hand it over documented so your team can take it on.Read more →
Cloudnonic builds the data pipelines, analytics and reporting that make a product useful to the people who operate it: field devices streaming into a monitoring platform, product catalogs feeding an optimisation engine, operational dashboards a team opens every morning. We work in Python and PostgreSQL on AWS, inside the product rather than next to it, with the same ownership of correctness and operations as the rest of the platform.Read more →
Technical due diligence is the review an investor, an acquirer or a board commissions before a funding round or a sale, to check that a company's software and engineering team can carry the plan the money is for: architecture, security and data protection, code quality, infrastructure, delivery process, documentation, the people it depends on and the licences it is built on. Cloudnonic works on both sides of it. For founders preparing a round, we get the engineering ready so the review is a reading exercise, with documentation produced alongside the build rather than written the week before. For investors and acquirers, we run the assessment as independent senior engineers and report what the platform can and cannot support.Read more →
Want to see how this would work for your product?
Book a call and we will go through your architecture, your constraints and what the first ninety days would look like.Book a technical consultation
Cloudnonic CorpBuilding & Scaling Digital Products