AI is Not
Traditional Software
Models drift. Performance degrades. Outcomes vary without continuous evaluation and support.
Hidden R&D
Cost
Internal teams reinvent the wheel across data pipelines, governance, and deployment wasting months and momentum.
Control vs.
Continuity
Owning IP isn’t enough when reliability fades without engineering discipline.
Deliver AI That Works, De Risked by Cloudaeon Principles
De Risk Delivery,
You Own the IP
You have full ownership with zero risk. You keep full control of your assets and codebase, while we handle the technical risk and delivery complexity. The result is enterprise-grade AI, built securely on your terms.
Client Led Strategy,
Cloudaeon-Enabled Delivery
Your vision, engineered to reality. You define the business goals, and we bring the architecture, pipelines, and delivery discipline to life. Our approach keeps strategy in your hands while giving you the execution strength of a world-class AI engineering team.
Business Aligned
Innovation
AI is not built for experimentation alone. Every use case is mapped to measurable outcomes at scale by ensuring innovation stays relevant and tied to enterprise value.
Pilot to Production
with Confidence
We accelerate your pilots into secure and governed production environments without sacrificing reliability. Using proven frameworks and reusable accelerators, we cut cycle time and ensure your models perform consistently at enterprise scale.
AI Ops, Continuous
Improvement
Post-deployment, our AI Ops framework continuously monitors performance, retrains models and enforces guardrails. To ensure your systems remain reliable and business-ready long after launch.
Reusable IP,
Shared Acceleration
Our reusable IP frameworks give your teams a running start. You benefit from accelerators and best practices shaped by real-world success, reducing time-to-value and avoiding repetitive engineering effort across projects.
Speed Up AI Delivery with Proven Frameworks and Accelerators
AI Discovery &
Prioritisation Toolkit
Get clarity on where to start with a validated roadmap for your AI portfolio. Leverage a structured 4–6 week engagement that helps you identify, evaluate and prioritise high-value AI opportunities.
We assess data readiness, technical feasibility and ROI potential so your investment goes where it truly matters.
Knowledge Assistant
Accelerator (RAG+)
Leverage a production-grade, reusable assistant built on your data in 4 weeks.
Our enhanced RAG+ framework combines retrieval-augmented generation with automated evaluation pipelines, ensuring your assistant delivers accurate, secure and continuously improving responses.
A2A Agent Layer
and MCP enablement
Accelerate automation safely with
reusable AI agents.
The A2A Layer enables a secure and compliant foundation for deploying AI agents across use cases. It’s built on a governed framework, MCP-ready and fully auditable, thereby allowing enterprises to scale agentic automation efficiently.
AI Platform
Build Kit
Deploy secure and production-grade AI infrastructure in weeks.
Get a comprehensive reference architecture and Infrastructure-as-Code templates for secure, governed AI platforms.
The Build Kit standardises how you deploy, monitor and manage AI systems across environments.
Evaluation &
Guardrail Engine
Leverage transparent, auditable AI performance metrics and automated quality control. Continuously test and score model outputs using automated pipelines with LLM-as-a-Judge for accuracy and performance.
The Guardrail Engine ensures every model in production meets defined quality thresholds.
AI Ops
Managed Service
Get always-on AI operations that grow and evolve with your business. Our managed AI Ops service handles post-deployment reliability, retraining, monitoring and SLA-backed support.
We keep your models compliant, optimised, and business-ready continuously.
Speed Up AI Delivery with Proven Frameworks and Accelerators
AI Discovery &
Prioritisation Toolkit
Get clarity on where to start with a validated roadmap for your AI portfolio. Leverage a structured 4–6 week engagement that helps you identify, evaluate and prioritise high-value AI opportunities.
We assess data readiness, technical feasibility and ROI potential so your investment goes where it truly matters.
Knowledge Assistant
Accelerator (RAG+)
Leverage a production-grade, reusable assistant built on your data in 4 weeks.
Our enhanced RAG+ framework combines retrieval-augmented generation with automated evaluation pipelines, ensuring your assistant delivers accurate, secure and continuously improving responses.
A2A Agent Layer
and MCP enablement
Accelerate automation safely with
reusable AI agents.
The A2A Layer enables a secure and compliant foundation for deploying AI agents across use cases. It’s built on a governed framework, MCP-ready and fully auditable, thereby allowing enterprises to scale agentic automation efficiently.
AI Platform
Build Kit
Deploy secure and production-grade AI infrastructure in weeks.
Get a comprehensive reference architecture and Infrastructure-as-Code templates for secure, governed AI platforms.
The Build Kit standardises how you deploy, monitor and manage AI systems across environments.
Evaluation &
Guardrail Engine
Leverage transparent, auditable AI performance metrics and automated quality control. Continuously test and score model outputs using automated pipelines with LLM-as-a-Judge for accuracy and performance.
The Guardrail Engine ensures every model in production meets defined quality thresholds.
AI Ops
Managed Service
Get always-on AI operations that grow and evolve with your business. Our managed AI Ops service handles post-deployment reliability, retraining, monitoring and SLA-backed support.
We keep your models compliant, optimised, and business-ready continuously.
Built on Proven AI Stack
Ecosystem neutral. Enterprise focused.
Our reusable frameworks speed deployment, remove vendor lock in and power PoVs across orchestration, automation and AI Ops.
How We Work: Start - Scale - Sustain
Get reliable AI outcomes faster with a staged, low risk approach that balances innovation and control.
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FAQs
Cloudaeon provides end-to-end enterprise AI services covering strategy, build, deployment, and operations. These include AI discovery and prioritization, generative AI and RAG accelerators, AI agent frameworks, enterprise AI platform builds, responsible AI and governance, continuous evaluation and guardrails, and fully managed AI Ops services. All offerings are designed to take clients from pilot to production and long-term operation with confidence.
Cloudaeon helps enterprises implement AI through a client-led, engineering-driven delivery model. Clients retain ownership of strategy, data, models, and IP, while Cloudaeon provides execution through accelerators, reference architectures, and experienced delivery teams. Engagements are structured to de-risk delivery using proof-of-value models, staged production rollouts, and outcome-aligned commercial structures.
Yes. Cloudaeon has strong support for generative AI and LLM-based solutions, including production-ready RAG (Retrieval-Augmented Generation) knowledge assistants, enterprise copilots, and AI agents. These solutions include built-in evaluation, governance, and guardrails to ensure accuracy, safety, and compliance, making them suitable for enterprise-scale adoption.
Absolutely. Cloudaeon is ecosystem-neutral and integrates AI solutions with existing enterprise data platforms such as Databricks, Microsoft Fabric, Azure, and open frameworks. AI platforms are built using infrastructure-as-code, standard MLOps tools, and secure integration patterns, ensuring no vendor lock-in and seamless alignment with existing data, APIs, and governance systems.
Organizations typically start with an AI Discovery & Prioritization engagement, where Cloudaeon works with stakeholders to identify high-impact use cases, assess data readiness, and define a clear AI roadmap. From there, clients can move into proof-of-value, production builds, and ongoing AI Ops support, scaling investment as value is proven. Engagements are flexible, transparent, and aligned to measurable business outcomes.
