Cloud Solutions & Services

Full-Lifecycle Enablement & Support for AI Agent Adoption

Executive & Technical Education Programs

Crash courses to align your teams on AI

Use Case Discovery & ROI Assessment

Prioritize high-value, automation-ready processes

Technology Evaluation: Open Source & Commercial

Choose best-fit LLMs & agent tools

Integration, Testing & Real-World Deployment

Deploy & validate agents in production

Managed Services for Quality & Continuous Improvement

Monitor, tune & evolve agent performance

AI-Powered Full-Stack Modernization
for the AI Era

Holistic Well-Architected Reviews

Full-stack audits to identify modernization blockers

Application Modernization

Refactor apps for scalable agent integration

Data Pipeline & Access Layer Redesign

Enable secure, real-time agent data access

Cloud Migration & Kubernetes Upgrades

Upgrade cloud stack for AI-native workloads

Managed CloudOps & DataOps Services

Optimize & operate AI infrastructure continuously

In the rapidly evolving domain of AI technologies, staying up to speed with new approaches, solutions, and tools is crucial. It's essential to choose the right options that won't become obsolete in three months.

Nick Chase

Chief AI Officer at CloudGeometry,
Co-Chair of

“At LF AI & Data, during our weekly tech reviews, we examine the latest AI technologies emerging from trendsetters like Google, OpenAI, AWS, and many other notable AI startups and open-source project”

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Business

Crash Course

Beginner

Certification

AI Agents Business Crash Course

Get a Custom Course for your management team, to get the latest update on the stage of AI in your industry/

Order now

Tech

Crash Course

Beginner

Certification

AI Agents Tech Crash Course

Get a Custom Course for your technology team, to get up to speed on the latest AIAgents and LLM tools and solutions.

Order now

Count On Us Throughout the Lifecycle
of your AI Agent Adoption & Operations

Expert hands-on guidance to achieve the agility, reliability and flexibility you need
— to make the most of your AI Agent goals and the intelligent automation they need to thrive.

AI Agent Strategy
& Foundation Setup

AI Agent Strategy & Foundation Setup

Start your AI Agent journey by defining a clear strategy that aligns autonomous capabilities with business goals, along with setting up agent-ready infrastructure.

Define AI Agent strategy & use case roadmap

Integrate essential agent technologies & frameworks

Establish data access governance for agents

Set up scalable, secure agent infrastructure

Explore the service

Discover how AI agents can streamline operations, enhance efficiency, and drive innovation. This guide covers key steps for business leaders, from selecting the right AI technology to deployment, maintenance, and ethical considerations.

Nick Chase

Blog post

Embracing the AI Agent Revolution: A Practical Roadmap for Business Leaders

AI Agent
Development & Training

AI Agent Development & Training

Focus on creating and refining AI agents that are specifically designed to automate unique business processes and decision-making workflows.

Create tailored AI agents for specific business functions

Develop reasoning & decision-making algorithms

Enhance agent reliability & error handling

Collaborate on agent behavior refinements

Explore the service

Nick Chase

Blog post

AI Agent
Integration & Optimization

AI Agent Integration & Optimization

Implement AI agents seamlessly into business processes to enhance automation and enable intelligent decision-making at scale.

Deploy agents into production workflows

Integrate with existing systems and APIs

Optimize agent performance & resource usage

Establish human-agent collaboration patterns

Explore the service

AI Agents: How MCP is Standardizing Tool Use and Collaboration

Nick Chase

Blog post

The API for AI Agents: How MCP is Standardizing Tool Use and Collaboration

AI Agent
Monitoring & Management

AI Agent Monitoring & Management

Continuously monitor and manage AI agent systems to ensure they perform reliably and adapt to changing business conditions.

Track agent performance and decision quality

Update and maintain agent capabilities

Establish agent feedback and learning loops

Manage agent governance and compliance

Explore the service

Discover how anti-fragile AI systems turn market chaos into opportunity. Learn key principles, architecture, and business strategies for building AI that improves during disruption—transforming uncertainty into a sustainable competitive advantage.

Nick Chase

Blog post

The "Anti-Fragile" AI Agent: Building Systems That Thrive on Disruption, Not Just Efficiency

Data Layer

Your AI Agent Is Only As Smart
As Your Data Layer

In the fast-paced world of AI, the right data layer is essential for successful adoption and business process automation. CloudGeometry transforms your data into a robust, unified infrastructure—ready to support seamless integration of AI agents across your organization.

Data Lake & Warehouse

Centralize and analyze your vast data resources, ensuring accessibility and scalability.

Data Ingestion & Streaming

Efficiently manage real-time data flow and aggregation to keep your AI models informed and responsive.

Cost
Optimization

Store and retrieve data in a way that enhances ML model performance and supports sophisticated AI functionalities.

We build these capabilities using the platforms you already trust—

Databricks

AWS

Azure

GCP

, and open source tools like

Kafka

Spark

, and

VectorDB

Learn more

Cloud Infra

Scalable, Modular, Secure:
Cloud Infrastructure for the AI Era

Don’t let outdated infrastructure bottleneck your AI initiatives. If you’ve been meaning to modernize your cloud environment, now’s the time. With AI workloads pushing new demands, flexibility, performance, and cost efficiency are non-negotiable.

CloudGeometry delivers proven, production-ready solutions to fast-track your AI stack deployment: