Software Development

Compliant by design.

Engineering best in class software using the latest technologies with our in-house team of developers.


We build transformative applications and end-to-end digital services. Our in-house software developers work closely with our Product team to build user-centric systems that deliver value.


We use React.js to deliver responsive and immersive front-end applications with a focus on great user experience (UX).


We develop production-ready and scalable backend applications using a variety of frameworks and programming languages. We continuously test and implement our systems to provide robust and scalable systems.


We use React Native to deliver consumer and business mobile applications that support iOS and Android.


We use a wide variety of infrastructures to support our software development, from containers such as Docker and Kubernetes to both AWS and Azure environments. We select the right infrastructures for each project to deliver well- architected, optimised and secure systems.

We leverage The Mishcon de Reya Group’s diverse range of award-winning lawyers and legal experts to ensure that everything we do is underpinned by sound legal compliance. This ranges from ensuring that our builds are adequately protected from an intellectual property perspective, are supported by strong data and commercial contract foundations, and are reflective of the latest regulatory guidance.

Always Agile

On all of our builds, we adhere to the Agile methodology of software development.

Agile methodology is a well-established set of practices which seek to ensure good project management by breaking activities into several short and intense phases of work known as “Sprints”. Agile involves constant collaboration with stakeholders and continuous improvement at every stage. By cycling quickly through a process of planning, executing, and evaluating, we achieve faster more impactful results.

Case Studies - 1/4

HM Land Registry

The conveyance process in the UK is slow, expensive and stressful. It often involves a series of linked transactions in a chain, and can be opaque to all parties involved.  HM Land Registry embarked on an innovation project to explore how these issues might be addressed as part of its' ambition to “become the world’s leading land registry for speed, simplicity and an open approach to data.”
Case Studies - 2/4


Every day, millions around the world interact with dense legal material in the form of T&Cs, regulatory notifications and traditional legal contracts.  These materials are often so complex that their users cannot reasonably be expected to comprehend them.  This creates legal risk for their providers, who may struggle to rely on them. Amplifi are addressing this risk, by using machine learning to assess the intelligibility of legal material and providing alternatives to simplify them.
Case Studies - 3/4

A new, green, engaging approach to cryptocurrencies

Our client is a well-known and respected businessperson, looking to deploy their significant commercial expertise to redefine the crypto industry.  Having conceived and refined the proposition with our Product team, we led the development of the new cryptoasset and an associated dApp on Algorand. We stood up related infrastructure and environments and managed the development to keep to time and budget.  We ran the project using Agile and Scrum methodologies and delivered value early for our client. 
Case Studies - 4/4

A data-driven approach to carbon capture measurement

Our clients are a leading environmental activist in the UK and is reinventing the way in which carbon capture is measured, calculated and transacted. The current system is woefully innaccurate and based on outdated models that expose buyers and sellers to accusations of "greenwashing" and, critically, fails to adequately serve the world's response to the climate crisis.

Our best-in-class technologists deliver world-class transformation programmes utilising a full range of technologies including:

Artificial Intelligence
Machine Learning
Decentralised Finance
Internet of Things
Data Science