Exhibiting at Big Data LDN 2026, Olympia London, Booth #C60. Watch the 2-minute AI Hub Overview
THE PRODUCTION GAP
Most Enterprise AI Never Leaves the Lab. Yours Can.
The gap is not the model. It is getting one serious AI use case live, governed and kept running. As AI moves towards production, delivery becomes fragmented, governance is added too late and there is no single view of what's running, what it costs or whether it is safe.
Register Before
You Build
Every use case is business owned, approved and inventoried before engineering begins.
One Trace Across Microsoft and Databricks
AI Hub joins platform telemetry into one operational view of cost, policy, evidence, drift and evaluation.
In Your Tenant,
You Own It
Runs on your native stack. Client
owned code and runtime, with no proprietary lock-in.
Governed and
Repeatable
The same path from the first use case to the hundredth. Standardisation by default,not by discipline.
One Governed Route
From the First AI Use Case to the Hundredth
AI Hub doesn't replace your existing tools. It provides the governance around them, giving every AI use case one controlled route from pilot to production, with approvals, evidence, operational trace and cost visibility built in.
Register
Use case, owner, value, risk
Configure
Model, limits, policies, guardrails
Provision
Governed model access via gateway
Implement
Built in your native stack
Validate
Evidence, evals, safety and cost
Promote
Controlled release to production
Operate
Monitor cost, drift and audit
Govern & Evaluate: one trace runs beneath all seven stages across cost, policy, evidence, drift and evaluation. The audit baseline. No shadow AI.
Bring one AI use case to see how it can move from idea to production—with clear ownership, governance and control.
One Governed Route
From the First AI Use Case to the Hundredth
AI Hub doesn't replace your existing tools. It provides the governance around them, giving every AI use case one controlled route from pilot to production, with approvals, evidence, operational trace and cost visibility built in.
Register
Use case, owner, value, risk
Configure
Model, limits, policies, guardrails
Provision
Governed model access via gateway
Implement
Built in your native stack
Validate
Evidence, evals, safety and cost
Promote
Controlled release to production
Operate
Monitor cost, drift and audit
Govern & Evaluate: one trace runs beneath all seven stages across cost, policy, evidence, drift and evaluation. The audit baseline. No shadow AI.
Bring one AI use case to see how it can move from idea to production—with clear ownership, governance and control.
BACKED BY CLOUDAEON ENGINEERING
Built to Work with Your Team and Scale with Ours
AI Engineering
Data Engineering
AI Hub provides the governed production foundation. Your teams continue building in Microsoft, Databricks and your existing environment, while Cloudaeon adds the engineering capacity needed to move more AI use cases into production.
Whether you need individual specialists, blended delivery teams or dedicated AI, Data, Platform and Operations pods, we integrate with your team to accelerate delivery without changing how you work.
Over the past eight years, we've helped organisations design, build and operate AI and data platforms that are reliable, governed and ready for real business use. We bring the engineering discipline to strengthen your platform, scale delivery and keep production performing over time.
Platform Engineering
AIOps & DataOps
How We Deliver
From idea to ongoing operations. Every engagement varies in scope and duration, from an early validating POV to long running projects and scaling our engagement as systems grow. We adapt our approach as your needs evolve, while taking responsibility for outcomes at every stage. From validation to long term operations, we take ownership of the systems that matter.
Start with a Focused Problem
Every engagement starts with understanding the challenge. Whether it's an AI Hub Discover, a Lakehouse platform review or a focused assessment, we define the problem, align on the outcome and recommend the right next step.
Build and Scale
From AI Hub Production Setup and Lakehouse modernisation to focused delivery projects and dedicated engineering pods, we work alongside your teams to deliver production ready AI and data platforms with clear technical ownership.
Run and Improve
Our AI, data, platform and operations teams provide ongoing AIOps, DataOps and CloudOps services to keep production environments reliable, governed and continuously improving as your business grows.
Enterprise Engineering Behind AI Hub
The principles behind AI Hub have been shaped through enterprise delivery across Microsoft and Databricks. From platform engineering to production operations, our teams help organisations build governed foundations that scale
Leading UK Retailer
Proven in production with a leading UK retailer, on Microsoft + Databricks, inside their own tenant.
Up to 70%
Faster environment setup,reusable foundation, controls & observability. No rebuilding every time
Up to 2×
More time implementing use
cases and less time assembling common production plumbing.
100% response and resolution against agreed service levels throughout the engagement.
95% reduction in reporting related FTE costs through automated reporting.
SOMETIMES AI ISN'T THE FIRST PROBLEM
When the Data Platform is the Blocker
Lakehouse Recovery & Modernisation
Many AI initiatives stall before the first model reaches production because the data platform isn't ready. Unreliable pipelines, incomplete governance, rising platform costs and engineering bottlenecks make it difficult to deliver trusted analytics or support AI at scale across Databricks and Microsoft Fabric. Cloudaeon helps stabilise, modernise and operate Lakehouse platforms so they become a reliable foundation for analytics and AI.
Restore Reliability
Stabilise pipelines, improve platform resilience and restore confidence in day-to-day operations.
Strengthen Governance
Establish production grade governance, consistent access controls and audit ready data foundations.
Accelerate Delivery
Reduce engineering bottlenecks so teams spend more time delivering data products and AI use cases instead of firefighting production issues.
"Cloudaeon delivered an enterprise grade KPI dashboard at exceptional speed, exceeding our expectations in both quality and functionality. Their expertise in automation and scalable architecture transformed our data management, enabling real-time insights and seamless operations. Their commitment to precision and efficiency made this a truly impactful collaboration for our business."
Ronan Stephens
Global Head of Product Supply
"Cloudaeon revolutionised our managed services platform, simplifying Hadoop deployment with automation and a user-friendly interface. This enhanced operational efficiency, allowing our clients to focus on deriving value from their data. The solution exceeded our expectations and significantly contributed to the success of our offerings."
Prat Mohgue
Senior Vice President
“Cloudaeon was invaluable in migrating our data center to Azure Databricks for the BEAM project. Their team ensured a smooth, efficient process, improving data access and performance. They delivered on time, with full security and compliance. We’re thrilled with the outcome and their continued support.”
Suze Howse
Head of Enterprise Data and AI
“Cloudaeon played a key role in migrating us from Hadoop to a fully managed Azure cloud solution for the Edison project. They exceeded expectations with a faster migration, delivering well beyond the expected 4x payback. Their expertise ensured a seamless transition, improving our data processing to drive better business outcomes.”
Julian Cherryman
Chief Data and Analytics Officer
