Powerful data engineering and AI for smarter business operations.
Seamless, scalable infrastructure for managing data, AI models, and business operations with ease.
About us
Who we are
The Full JSON is a specialist technology consultancy working with SMEs in engineering, manufacturing, and logistics. We design and build custom applications, data pipelines, and AI-powered workflows that connect the fragmented systems modern businesses depend on — turning data chaos into something reliable, intelligent, and genuinely useful to the people who use it every day.
What the name means
JSON — JavaScript Object Notation — is the universal language that systems use to talk to each other. It is lightweight, human-readable, and sits at the heart of virtually every modern API and data exchange. When two applications share information, there is almost always a JSON payload behind the scenes.
And so why the name. Well one day, 7 years ago, while working on a very tricky Shopify integration we found ourselves completely stuck. We knew the data we needed was in the Shopify environment but the Shopify API was not giving us what we needed. In frustration Stevie had a rant. "We need the full JSON!" he shouted. "We need the full JSON!" We needed to see the full data payload to understand what was going on and how to solve the problem. And so the idea for the company and the name of it were born.
Our philosophy
Technology should work for your business, not the other way around. Too many SMEs are held back by disconnected tools, manual processes, and data that lives in silos — not because the problems are unsolvable, but because the solutions were never built with their reality in mind.
We believe in practical, well-engineered solutions: nothing over-complicated, nothing that creates new dependencies you do not need. We build things that your team can understand, trust, and actually use — and we measure our success by whether your operations run better as a result. We start with the business process, extract the data that we need to understand it, engineer that data into a format that we can work with, and then build the tools and automations that will make it better.
Design for modern companies
What exactly do we do?
As you will have understood by now we engineer data systems. In simple terms though what are the basic building blocks of our systems and how do we integrate them. Hopefully the non-exhaustive list below will give you a better idea of what we do and how we do it.
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Databases
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If you are designing data systems and they are going to hold data then you are going to need databases. We will always tend towards PostgresSQL as our database of choice but we have experience with a wide range of databases and we are always happy to work with whatever you have in place or want to use.
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Caching
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A cache is a fast temporary storage layer, such as Redis, that keeps frequently used data close to the application so it does not have to repeatedly fetch or compute it from a slower source like a database, API, or data warehouse. Caches are essential for improving performance and scalability in data systems, and we have extensive experience working with them to optimize data access and reduce latency.
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UI and dashboards
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In any data application you need to be able to input and output the data in a human friendly way. We build custom user interfaces and dashboards that allow you to interact with your data, monitor key metrics, and manage your operations without needing to understand the technical details of the data. Typically Javascript languages are used for this layer in data heavy apps.
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UX
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The user experience is often the most important part of any data system. If the people who need to use the system cannot understand it or do not trust it then it will not be used and it will not have any impact. We design and build data systems with the user experience front of mind, ensuring that they are intuitive and reliable.
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Coding
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We write clean, maintainable code that powers our data systems and ensures they run smoothly. We use IDE's such as VSCode and we use GitHub for version control. We use Claude code and Codex to assist in coding using DDD, SDD and TDD methodologies. We write code in a range of languages including Python, JavaScript, TypeScript, SQL and more depending on the needs of the project.
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Backend/APIs
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An API — Application Programming Interface — is a defined way for one piece of software to communicate with another. In web apps, an API usually means a set of URLs/endpoints that let your frontend, backend, or another service request or change data.So the API acts as a controlled doorway between the user interface and the underlying system.There are lots of types of APIs such as REST, GraphQL, Websockets and Webhooks anbd it is possibly the most confusing part of data system design.
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Authorisation and security
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DevSecOps means building security into every stage of software delivery, rather than checking it at the end. Key aspects include secure coding, automated testing, dependency scanning, secrets management, infrastructure-as-code checks, container security, access control, logging, monitoring, and incident response. It combines developers, operations, and security teams around shared responsibility. Not easy to do, but essential.
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Communications
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Most data systems output data to the users which now means email, SMS, Slack, WhatsApp and more. All need integration. All need security. Good integration ensures users receive timely updates, confirmations, alerts, and support messages across the right channel. It should also protect privacy, respect notification preferences, handle opt-outs, and maintain audit trails for compliance and debugging.