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We engineer the intelligence your business runs on

Cloudaeon brings deep engineering discipline and end-to-end ownership to AI and data platforms. We turn fragile experiments into resilient and production ready systems, so enterprises can stop testing the future and start running on it. 

Lakehouse

A Lakehouse That Runs Clean 

Stabilise, govern and modernise Databricks or Fabric platforms so data and AI can scale. 

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AI That Actually Does the Work

Governed agent workflows using MCP to safely connect AI with enterprise systems and processes. 

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Trust Your AI Answers Again 

Production-grade RAG systems with evaluation, guardrails, and operational ownership — built for enterprise use. 

Our Solutions

We focus on a small number of high-impact enterprise problems where failure is costly and reliability in production truly matters. 

Enterprise RAG 

Production-grade RAG for real enterprise data 

 
We fix RAG systems that hallucinate, fail compliance, or break at scale by delivering governed, evaluated knowledge assistants that run reliably on enterprise data and scale in production. 

Agentic AI with MCP 

​From isolated agents to controlled automation

 

We turn uncontrolled, risky AI agents into controlled automation by implementing

MCP-based governance,  approvals and observability for safe access to enterprise systems. 

Lakehouse Modernisation 

Databricks & Fabric, built right the first time  
 

We stabilise and modernise existing Databricks and Microsoft Fabric Lakehouse platforms into scalable, governed lakehouse architectures that support analytics and AI without complexity or cost.

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Cloudaeon is focused on enterprise AI and data platforms.

An engineering-led Approach

Built for Production, Not Experiments

Engineering-Led, End-to-End Ownership

Over the past eight years, we have helped organisations design, build, and run AI and data systems on platforms such as Databricks and Microsoft Fabric—ensuring they are reliable, governed, and ready for real business use.


Our work is rooted in a simple belief: AI only works when data foundations are strong, and platforms only succeed when someone takes full ownership. We bring deep engineering discipline and operational maturity to make sure what gets built continues to perform, scale, and improve over time.

We work as long-term engineering partners for running, managing and improving platforms, so teams can focus on achieving results instead of addressing reactive issues after delivery. 

Focused on Complex, High-Impact Challenges

Solutions That Grow Into Long-Term Platforms

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

Proof of Value (PoV) 

We begin with a targeted short engagement that validates the idea against real data, environments and constraints. Our POV    de-risks delivery before scaling into production. It empowers leaders to gain early confidence and confirm the solution is worth building further.  

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Build with Clear Ownership

Dedicated Engineering  Pods  

As solutions prove their value, we deploy dedicated engineering pods who take ownership to build, scale and stabilise platforms. It ensures maintaining  shared context, clear  accountability and progress even when complexity grows.   

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Support and Evolve in Production

Operations & Managed Services

Production systems require sustained engineering focus. We provide ongoing operational support to keep them reliable and continuously improving 

as complexity grows. 

"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

Trusted by our Clients

Our Latest Insights

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Our Technology Partners

Trusted on Databricks environments where governance, cost, and production reliability matter — not just initial setup.

Chosen by enterprises running Fabric and Azure platforms that require disciplined engineering and predictable operation. 

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Explore our Customer Stories

Client Data Quality Automation & Alerts using Databricks

Data

Client Data Quality Automation & Alerts using Databricks
Automating Data Quality Metrics in the Retail Domain

Data, BI

Automating Data Quality Metrics in the Retail Domain
Clean Data Models from Unstructured Forecast Data

Data

Clean Data Models from Unstructured Forecast Data
Reinventing E-commerce Returns with Agentic AI

AI

Reinventing E-commerce Returns with Agentic AI
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