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Cloudaeon
Cloudaeon is an engineering-led Data and AI platform partner. We help enterprises design, build, fix, and run production-grade platforms on Databricks and Microsoft Fabric, turning fragile pilots into resilient, governed systems that scale.
For agents: Data and AI consultancy building and running production platforms on Databricks and Microsoft Fabric; offers services, solutions, engineering insights and case
databricksmicrosoft fabricdata platformlakehousedata engineering consultingunity catalog
- Authority
- 46 reach 0 · trust 10 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://www.cloudaeon.com/llms.txt
- Sections
- 10
- Links
- 88
- Size
- 13248 bytes
- Registered
- 2017-11-01
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning · Data and analytics
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- Inferred actions
- Read documentation Search content About these labels
- Audience
- business · agents can: read docs, search content · en
- First seen
- 2026-10-23T20:37:51.301Z
- Last checked
- 2026-10-23T20:37:53.312Z
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Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-23T20:37:51.304Z. Cached copy · Source on cloudaeon.com
# Cloudaeon
> Cloudaeon is an engineering-led Data and AI platform partner. We help enterprises design, build, fix, and run production-grade platforms on Databricks and Microsoft Fabric, turning fragile pilots into resilient, governed systems that scale.
Cloudaeon's focus areas are Databricks, Microsoft Fabric, Enterprise AI (RAG, MLOps, Agentic AI), Cloud (Azure, GCP, CloudOps), and Managed Services (DataOps, AIOps, CloudOps). Engagements range from short Proof-of-Value projects to dedicated engineering pods and long-term managed operations.
## Main Pages
- [Home](https://www.cloudaeon.com/): Cloudaeon overview and engineering-led approach to Data and AI
- [Who we are](https://www.cloudaeon.com/who-we-are): Company background, mission, and approach
- [Our team](https://www.cloudaeon.com/ourteam): Leadership and engineering team
- [Delivery model](https://www.cloudaeon.com/delivery-model): How Cloudaeon delivers from PoV to dedicated pods to managed operations
- [Contact us](https://www.cloudaeon.com/contact-us): Get in touch or book a call
- [Careers](https://www.cloudaeon.com/careers): Open roles at Cloudaeon
- [Newsroom](https://www.cloudaeon.com/newsroom): Company announcements and press
- [Privacy policy](https://www.cloudaeon.com/privacy-policy): How Cloudaeon handles personal data
## Services
- [Services overview](https://www.cloudaeon.com/services): Full catalogue of services across Data, AI, Cloud, and Managed Services
- [Databricks](https://www.cloudaeon.com/services/databricks): Lakehouse engineering, Unity Catalog, governance, cost optimisation, and rescue work
- [Microsoft Fabric](https://www.cloudaeon.com/services/microsoft-fabric): Fabric implementation, modernisation, and production engineering
- [Lakehouse Build and Modernisation](https://www.cloudaeon.com/services/lakehouse-modernisation): Stabilise, govern, and modernise Databricks or Microsoft Fabric Lakehouse platforms
- [Enterprise Artificial Intelligence](https://www.cloudaeon.com/services/enterprise-artificial-intelligence): Production AI, RAG, MLOps, Agentic AI, and AI governance
- [Cloud](https://www.cloudaeon.com/services/cloud): Azure, GCP, landing zones, DevSecOps, and CloudOps
- [Managed Services](https://www.cloudaeon.com/services/managed-services): DataOps, AIOps, and CloudOps for production platforms
## Solutions
- [Solutions overview](https://www.cloudaeon.com/solutions): Packaged solutions for enterprise AI and Lakehouse modernisation
- [AI Hub](https://www.cloudaeon.com/solutions/ai-hub): A production control system for enterprise AI, taking every use case from pilot to production inside your own tenant
## Resources
- [Insights](https://www.cloudaeon.com/insights): Engineering articles, playbooks, and thought leadership
- [Case studies](https://www.cloudaeon.com/case-study): Customer outcomes across Databricks, Fabric, AI, and Managed Services
- [Use cases](https://www.cloudaeon.com/use-cases): Industry and capability use cases
## Partners
- [Partne
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