Quick Overview
CloudGeometry provides an open-source AI agent platform that deploys on your infrastructure. Build agents using visual tools, integrate with your data, and scale without vendor lock-in. Full control, zero compromises.
Design, deploy, and scale powerful AI agents on your infrastructure with zero lock-in, full control, and open-source flexibility.
CloudGeometry provides an open-source AI agent platform that deploys on your infrastructure. Build agents using visual tools, integrate with your data, and scale without vendor lock-in. Full control, zero compromises.
CloudGeometry's AI Agent Platform lets enterprises build, deploy, and manage AI agents on their own infrastructure. Unlike SaaS solutions, you maintain complete control over your data, security, and customization while using proven open-source frameworks like LangChain and LangFlow.
LangFlow-based interface for building complex AI workflows without code
Organization-level separation with user roles and project management
Real-time monitoring, logging, and evaluation tools for production agents
Cloud, VPC, or on-premises deployment with complete infrastructure control
Feature | Traditional AI Platforms | CloudGeometry's Approach |
---|---|---|
Infrastructure | Lock you into their infrastructure | Deploys within your infrastructure |
Customization | Limited customization options | Open-source foundation (no vendor lock-in) |
Data Privacy | Data leaves your environment | Complete data privacy and security control |
Pricing | Expensive per-agent pricing | Transparent, predictable costs |
“When every AI company is offering the same APIs and models, the edge isn't in access — it's in integration, execution, and continuous improvement
”
Document Q&A, knowledge bases, customer support automation
Data processing, report generation, intelligent task routing
Ticket triage, response suggestions, escalation management
Query databases, generate insights, create automated dashboards
Connect to existing APIs and databases, custom tool development, multi-model support (OpenAI, Anthropic, local models), and real-time data processing.
AWS, Azure, or GCP with full control and security
Air-gapped or hybrid setups for maximum security
Secure, isolated environments within your network
Avoid single-cloud dependency with flexible deployment
Kubernetes cluster (we can set this up), minimum 4 cores and 16GB RAM per node, persistent storage for data and logs, and network access for model APIs (configurable).
Organization-level separation, user roles (Admin, Developer, Viewer), project-based permissions, and audit trails for all changes.
Visual flow builder for non-technical users, code editor for advanced customization, version control and rollback capabilities, plus testing and evaluation frameworks.
All data stays within your infrastructure with no external transmission required
SOC2, HIPAA, GDPR compliance with custom encryption and access controls
Role-based access control (RBAC) with comprehensive audit logging
API key management and secure sandbox execution environment
Platform deployment and configuration
First agent development and testing
Deployment and team training
Support and feature development
Infrastructure assessment and setup, platform configuration and customization, team training and best practices, plus ongoing support and updates.
Watch how teams build production-ready AI agents in under 30 minutes using our visual interface.
Platform deployment in minutes
Drag-and-drop agent creation
From prototype to production
Get your team up to speed on AI agents, LLMs, and implementation strategies with expert-led training designed for both business and technical audiences.
Get a Custom Course for yourmanagement team, to get the latest update on the stage of AI in your industry.
Order now →Get a Custom Course for yourtechnology team, to get up to speed on the latest AI Agents and LLM tools and solutions.
Order now →Our solution architects will analyze your infrastructure and provide a custom roadmap for AI agent implementation.