AI Cloud Platforms & Services
Helping organisations build, deploy and scale AI solutions using the full capabilities of Azure, AWS and Google Cloud.
Trusted by organisations to design, build and optimise cloud AI solutions across Azure, AWS and Google Cloud, from pre-built service integration through to foundation model customisation.
We work with organisations to design, build and optimise cloud AI solutions across Azure, AWS and Google Cloud. From building solutions using pre-built APIs and managed AI services, to fine-tuning foundation models and deploying scalable AI workloads, we provide the expertise to deliver production-ready cloud AI outcomes across a range of industries and use cases.
We work with organisations at any stage of their cloud AI journey, from those building their first cloud AI solution to those looking to extend, optimise or scale existing cloud AI investments. Our services are designed around your platform environment, your data requirements and the outcomes your organisation needs to achieve.
We deliver cloud AI services across the full solution lifecycle, from initial use case assessment through to deployment, integration and ongoing optimisation.
Our partnerships begin with a structured assessment of your objectives, existing cloud environment and the AI capabilities most relevant to your use cases. We evaluate the services available across Azure AI Foundry, AWS Bedrock and Google Vertex AI, identifying the right combination of pre-built models, APIs and managed services to meet your requirements without unnecessary complexity or cost.
We design and build AI solutions that integrate directly with your existing systems, data sources and workflows. Where pre-built cloud AI services meet the requirement, we implement and configure them rapidly. Where greater customisation is needed, we fine-tune and adapt foundation models on your chosen platform, working within your data governance and security requirements throughout.
Data privacy and sovereignty are addressed as core considerations, particularly for public sector organisations and those operating in regulated industries. We evaluate which cloud AI services support private endpoints, VNet integration and data residency requirements, ensuring solutions are architecturally robust before any data is in scope.
Deployment is managed to production standards, with scalability, reliability and cost efficiency built into the architecture from the outset. We ensure AI workloads perform consistently under real operational conditions and connect reliably to the systems and data pipelines they depend on.
Post-deployment, we provide ongoing monitoring, performance evaluation and optimisation, tracking usage and model behaviour, managing costs and supporting your teams as platform capabilities and your AI requirements evolve.
Commodity contracts and services supported for one of the world's largest agricultural organisations
Funding allocation managed each year for the nation’s largest funder of health and care research
Pupils tracked across 12,000 UK wide schools
Annual sales supported through a knowledge management platform for a global manufacturer
Helping organisations build and scale AI solutions across Azure, AWS and Google Cloud
From developing cloud AI solutions using pre-built models and APIs, to customising foundation models and optimising existing cloud AI investments.
Designing and building AI solutions using pre-built models, managed services and APIs across Azure, AWS and Google Cloud, selecting the right services for your use case and integrating them directly with your existing systems and data sources.
Fine-tuning and adapting foundation models on your chosen cloud platform, working within your data governance and security requirements to deliver AI capability tailored to your organisation.
Assessing, improving and scaling cloud AI already in place, evaluating current performance, identifying inefficiencies and implementing improvements across model behaviour, infrastructure and cost.
Using industry leading platforms, tools and technologies
From Azure and AWS, to Google Cloud Platform and Cloudflare, we use the latest, industry-standard cloud platforms to build, deploy and scale AI solutions across enterprise and public sector organisations.
Delivering cloud AI solutions across Azure, AWS and Google Cloud for organisations across industries
From AI powered WhatsApp chatbots, to image recognition systems and planning optimisation tools.
Northern Trains is a train operating company that provides services across the North of England. With over 500 calling stations, the company connects major cities like Manchester, Leeds and Newcastle. The company plays a crucial role in facilitating transportation and commuting for thousands of passengers every day.
A UK-based large food manufacturer, established for over 100 years, providing products as part of a healthy, balanced diet, through a range of products to suit all meal occasions, lifestyles and tastes.
STERIS is a leading global provider of products and services that support patient care with an emphasis on infection prevention, focused primarily on healthcare, pharmaceutical and medical device customers, with more than 17,000 associates worldwide.
A nationwide energy provider who specialises in supplying energy to a wide range of businesses with a UK-based team, from SMEs through to large national chains, knowing what energy challenges businesses face and how to support them.
A no-code work management platform that enables anyone to replace spreadsheets with custom applications to track and manage work. From marketing professionals, to sales teams, HR managers and agencies of all kinds, empowering people across all industries to innovate by developing the software that they need.
From start to finish the working relationship between Audacia’s team and ours was productive from the iterative development approach, meaning we worked in shorter time frames but increased levels of communication to ensure all updates were reviewed quicker. Audacia’s end platform delivered on all aspects.
- The National Institute of Health Research (NIHR)
Our latest insights in AI and machine learning
Insights on the latest industry developments, technology advancements and practical applications of AI across enterprise and public sector organisations.
Audacia awarded Highly Commended for AI Company of the Year at the 2026 British Data Awards in recognition of Audacia’s track record of responsible, collaborative AI delivery across regulated and complex industries.
Most enterprise AI projects stall not because the model fails, but because the data underneath is incomplete or inaccessible. This article sets out the five dimensions of AI data readiness, examines how data debt compounds across initiatives, and explores the architectural patterns that allow organisations to scale AI.
More than 80% of AI projects fail which is twice the rate of non-AI IT projects. This article explores the five reported consistent root causes of this failure: starting with technology instead of a business problem, weak executive sponsorship, poor data readiness, no path to production, and treating AI like a traditional IT project.
They had a great culture and pragmatic approach, challenging us to think about the data strategy rather than fixing just a short term problem.
- Leading Appliance and Electronics Retailer
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.
