CompanyUnclaimedAI

cloudaeon

Team Augmentation services,  end-to-end Project Delivery, Managed Services and Innovation Lab

cloudaeon.com

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About

Cloudaeon is an engineering-led Data, AI and Cloud partner helping organisations build, modernise and operate production-grade platforms. We help organisations move Data and AI from initiative to production where reliability, strong governance, security and cost control actually matter. We combine disciplined data engineering and AI delivery with deep cloud and platform expertise across Databricks, Microsoft Fabric, Azure and GCP. We also bring reusable accelerators and clear operational ownership backed by DataOps, AIOps and CloudOps to keep platforms stable, monitored and continuously improving. Core Solutions 1) Cloudaeon AI Hub (in-tenant enterprise AI) A modular AI platform deployed in your environment to deliver governed, observable AI. Available now RAG Knowledge Assistant – grounded answers from enterprise content with evaluation, guardrails and monitoring Workflow Automation via MCP – secure AI actions with permissions, approvals and full audit trails Early access Agent Library – reusable agents and connectors to accelerate common enterprise use cases AI Control Tower – central oversight for quality, usage, cost and policy enforcement Model Customization (by engagement or roadmap) – adapt models for your domain with safe deployment and lifecycle control 2) Lakehouse Build and Modernisation (Databricks and Microsoft Fabric) End-to-end lakehouse delivery covering architecture, migration, stabilisation, governance and optimisation so analytics, BI and AI workloads run reliably and cost-efficiently. How we deliver Proof of Value → Dedicated Engineering Pods → Managed Operations We work with CIOs, CDOs, Heads of Data and AI and engineering teams across EMEA, the UK and the USA with delivery teams based in the UK and India. Specialties Enterprise AI, Retrieval-Augmented Generation (RAG), MCP-enabled workflow automation, Agentic AI, Data Engineering, Lakehouse Modernisation, Databricks, Microsoft Fabric, Azure, GCP, Data Governance, Data Quality, DataOps, AIOps, CloudOps, Platform Engineering, Managed Operations, FinOps

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