Helping organisations improve, scale and innovate through technology.
Delivering digital transformation - from consultancy, software development and testing, to machine learning, cloud and UX.
Technology Consultancy
Offering strategic advice, technology consultancy and support on end-to-end digital transformation.
Project Delivery
Combining domain and technology expertise to build digital products and services at speed and scale.
Team Augmentation
Augmenting internal teams with skilled and experienced resource for rapid delivery of large scale digital projects.
Your end-to-end technology delivery partner
We're trusted to deliver large-scale, complex technology projects for leading organisations across engineering, data, AI and cloud.
Engineering
Data
AI
People who trust us
We have established a reputation as a critical digital transformation partner with long-standing relationships. We help customers automate, streamline and simplify their processes by delivering intuitive and scalable solutions.
Engineering
Building large-scale, complex software platforms - from enterprise legacy modernisation, to greenfield projects, we deliver solutions that automate, streamline and simplify processes, meeting the needs of today and the future.
Software Development
Engineering complex, mission critical software platforms
Software Testing
Ensuring systems are performant, accessible, scalable and secure
Systems Integration
Integrating systems to operate as a single framework
Mobile Development
Delivering performant, scalable and robust user-driven mobile applications
Front-end Development
Building intuitive and scalable user-focused digital experiences
Empowering teams around the world
Delivering powerful and scalable technology solutions for global organisations to simplify complexity and enable people to work smarter.
Data
Turning data into a valuable asset - from building centralised data platforms to delivering clear, accessible reporting and analytics, we enable teams to make faster, more informed decisions based on trusted data.
Data Visualisation & Reporting
Delivering custom reporting for data-driven decision making
Data Analytics
Uncovering actionable insights for data-driven transformation
Data Migration
Delivering large migrations across architectures and environments
Data Engineering
Engineering pipelines to consolidate, process and aggregate data
Enterprise Data Products
Designing, delivering and optimising enterprise data platforms to provide unified data foundations
Insights
Taking AI from PoC to Production
The journey from initial proof of concepts (PoCs) to realising tangible commercial value requires an engineering-focused approach. Here we discuss the common reasons for failure, and best practices for success in taking AI projects from PoC through to production.
Audacia shortlisted in British Data Awards 2025
Audacia shortlisted for AI Company of the Year and Technology Company of the Year at the British Data Awards 2025.
Audacia shortlisted in National Technology Awards 2025
Audacia is shortlisted for AI Innovation of the Year, Tech Company of the Year, Technology Leader of the Year (Philip White) and Best Tech Place to Work at the National Technology Awards 2025.
Data Readiness: What It Actually Means
"Are we data ready?". Data readiness is a multifaceted concept encompassing technical readiness, cultural readiness, and governance readiness. It can be thought of as an organisation’s capability, effectiveness, and preparedness to use data for strategic outcomes. Here we discuss what data readiness actually means.
AI
Guiding organisations through the practical application of AI - from custom machine learning models to generative AI, we create solutions that improve services and enable organisations to make decisions better, faster and at scale.
Research & Prototyping
Validating AI concepts through research and prototyping
Generative AI
Building custom GenAI solutions across image, vision and text
Concept to Delivery
Taking AI and machine learning solutions from PoC to production
AI Cloud Services & MLOps
Providing machine learning lifecycle management to build, deploy and scale trusted AI solutions rapidly
Machine Learning
Building custom machine learning models optimised to specific challenges, data and operational environments
Technical Insights
Data Products: Build vs Buy
As data continuous to become the biggest operational challenge for organisations, here we discuss the question of whether teams should look to build their own data solutions in-house or, instead, leverage pre-built third-party data products.
When You Don’t Need AI - Just Maths & Statistics
In the rush towards AI and machine learning, it’s easy to forget that many business problems can be solved, often more transparently and robustly, with traditional mathematical and statistical techniques. This article highlights examples where statistical models or mathematical techniques can provide appropriate solutions in place of complex AI.
Legacy Data: Making Old Data Work for New Objectives
Legacy data – the information stored in outdated, and often siloed, systems – is frequently seen as a challenge. The challenge is how to make this old data serve new objectives - such as real-time analytics, customer 360 views, AI-driven insights - without a complete overhaul of legacy systems. Here we focus on different approaches that enable organisations to leverage legacy data in modern architectures.
Designing Scalable Data Architectures for AI
AI systems rely on vast amounts of data, where data quality is the biggest factor when ensuring model performance, however we must also carefully consider how well the data is structured, processed and made accessible. This article outlines the key strategies for designing data architectures that are robust, scalable and capable of supporting AI workloads in large organisations.
Cloud
Supporting organisations in building secure, scalable cloud environments - whether migrating systems, modernising platforms, or optimising existing infrastructure, we focus on delivering cloud solutions that improve performance, resilience, and cost-efficiency.
Cloud Architecture & Design
Designing cloud solutions optimised for resilience and scale
Cloud Adoption & Migration
Migrating to cloud infrastructures to enhance accessibility, performance and scalability
Cloud Native Solutions
Building scalable and resilient cloud native solutions rapidly
DevOps & Pipelines
Embedding automation through DevOps for continuous integration, delivery and deployment
Cloud Security
Securing cloud environments through architecture, automation and optimisation
Latest Events
Policies, Principles, People: The Building Blocks of AI Governance 🏛️
In this talk, we’ll explain what AI governance really means, why it matters to your organisation, and how you can practically and proactively implement it.
Putting the CD into CI/CD ♾️
How do we bridge the gap between continuous integration and truly continuous deployment? In this talk, Principal Software Engineers, Akeel and Luke, will explore two well-known branching strategies, trunk-based development and Gitflow, as dynamic tools to unlock this potential.
Engineer Experience: Why and How You Should Measure It 📊
In this Tech Talk, Technical Director Richard Brown will explore why measuring Engineer Experience can have an impact on software delivery, covering what data points you should collect and how to apply these insights to enhance the productivity of both development and testing teams.
Brick by Brick: How to Define the Right System Requirements 🧱
This tech talk will guide you through common challenges faced during the requirements-gathering phase of software projects, using relatable LEGO-based scenarios. From budgeting your resources to managing diverse stakeholders, discover actionable tips and tricks to set your project up for success.
Talk To Us
As a first step in the process, we offer a free consultation around your current setup. We'll discuss your challenges and goals and see whether we could be a good fit for delivery.
