CloudGeometry

CloudGeometry is a privately branded company providing cloud and AI solutions. The company operates as a consulting and services firm focused on cloud-native application engineering, data platforms, and AI-enabled systems. Headquarters are located in the United States. Client references and case studies indicate work with Silicon Valley startups and global corporate organisations, and projects described include deployments and analytics with worldwide reach.

Services and Capabilities

• Application modernization and platform engineering: refactoring and migrating frontend and backend systems to modern stacks, Kubernetes-based platform delivery, and multi-platform application design.
• Cloud migration, upgrade and operations: cross-cloud and on-prem infrastructure modernization using Infrastructure as Code (IaC), Kubernetes orchestration, and ongoing CloudOps including cost management.
• Data engineering and business intelligence: implementation of data lakes, federated access, event-driven pipelines, and BI platforms that provide dashboards and real-time insights.
• AI transformation and agent development: setup of AI platforms, development and training of AI agents, integration of agents with business systems, and agent monitoring and lifecycle management.
• Managed services: ongoing CloudOps, DataOps and MLOps delivery including monitoring, automation, and platform maintenance.
• AI-powered software development: augmentation of software feature delivery through AI toolsets and automation to accelerate development workflows.

Industry Focus

• Consumer packaged goods (CPG) and IoT: connected-label and NFC cloud solutions that integrate device data with analytics and logistics.
• Live events and entertainment: development of venue intelligence and comparison engines to support tour planning and operational analysis.
• Industrial and remote asset monitoring: SaaS platforms that combine real-time telemetry and historical data for asset health and downtime reduction.
• Enterprise SaaS and ERP integrations: AI agent integrations with ERP, CRM, and HRIS systems to automate business workflows.

Technology and Delivery Approach

Delivery emphasizes Kubernetes-native, multi-cloud architectures and Platform Engineering practices. Recurring technical themes include integration of open-source tooling, use of platform components for Kubernetes-based application delivery (CGDevX), data platform patterns such as federated access and event-driven pipelines, and deployment of agent infrastructures (LangBuilder and LangGraph Enterprise) for AI automation. Work commonly involves infrastructure as code, pipeline automation, deployment of monitoring and governance for AI agents, and ongoing managed operations (CloudOps, DataOps, MLOps) to maintain and iterate on production systems.