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Engineering-led data and AI platforms built for production - Cloudaeon

Engineering led data and AI platforms built for production.

We focus on building and modernising production-ready Lakehouse and AI solutions designed to run at enterprise scale, not just in pilot environments. 

Our Core Solutions 

AI Hub Cloudaeon

​AI Hub

Move AI from pilot to production within your tenant so your data, identity and policies stay under your control.  
 
AI Hub Modules
 

  • Enterprise Knowledge Assistant (RAG): A production-grade AI solution deployed in your environment, engineered for scale and reliability.  
     

  • Workflow Automation (MCP-enabled): A solution that takes you from AI workflow demos to production automation using an MCP control plane with full governance and auditability.  
     

  • Agent Library: (Upcoming) A reusable library of agent blueprints & prebuilt patterns that helps teams launch AI use cases faster and more consistently.  
     

  • Model Customisation: (Upcoming) A solution designed to offer a governed capability to tailor AI behaviour performance and output quality.  
     

  • AI Control Tower: (Upcoming) It is a central operating layer that provides visibility across agents, workflows and AI services for improved monitoring and operational activity in production.  
     

The AI Hub solutions are built for your ownership, deployed in phases with governance embedded from day one.  

Lakehouse Build & Modernisation

Recover and modernise existing Databricks and Microsoft Fabric platforms that are failing to deliver reliable analytics or support AI initiatives.  
 
Solution designed for: 
 

  • Databricks 

  • Microsoft Fabric 

     

Lakehouse build and modernisation solution delivers: 
 

  • Platform Stabilisation: Fix instability, improve pipeline reliability and restructure workloads for a stable and reliable platform. 
     

  • Governance & Trust: Build enterprise grade governed data platforms with consistent access control, metadata management and audit-ready lineage. 
     

  • Operational Efficiency: Optimise performance, control costs and implement guardrails for efficient and predictable platform usage. 
     

  • Analytics Enablement: Improve BI reliability, simplify semantic models and optimise query performance for faster analytics delivery.  
     

  • AI Readiness: Prepare your lakehouse for reliable AI workloads by structuring data and aligning governance. 

 

If your Databricks or Fabric platform isn’t delivering, we help you make it production-ready for analytics and reliable AI.

Lakehouse Build & Modernisation Cloudaeon
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Why Choose Cloudaeon 

Organisations choose Cloudaeon for an engineering-led approach to building reliable data and AI solutions that operate at enterprise scale.  

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Engineering-Led Delivery
 
Solutions designed and implemented by experienced platform engineers.   

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Built for Production

Systems engineered for reliability, performance 
and real operational workloads.   

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Expertise Across Data, AI and Cloud

Enterprise grade deep experience with modern platforms and architectures.   

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End-to-End Ownership

From architecture and implementation to ongoing platform operations.   

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Built for Long-Term Platforms

Solutions designed to evolve and scale with your organisation.   

If your Lakehouse can’t scale reliably, it does not need more tools. 

Before AI, before analytics, let’s fix your Lakehouse first. 

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