Executing complex AI-driven workflows often requires significant infrastructure management and cross-platform compatibility. Developers and organizations face challenges in deploying and scaling AI agents across diverse operating systems and integrating with various Large Language Model (LLM) providers, leading to increased development overhead and potential performance bottlenecks.

C/ua provides a managed platform for deploying and orchestrating AI agents within secure, isolated cloud containers. The platform abstracts away infrastructure complexities, enabling users to run agentic Robotic Process Automation (RPA) workflows across macOS, Linux, and Windows environments. It supports integration with a wide array of LLM providers, facilitating seamless interaction with natural language models to control computer actions. This approach streamlines the development and deployment of AI agents, allowing for efficient execution of automated tasks and complex computational workflows.

Containerized AI Agent Deployment: Secure, isolated cloud containers for deploying AI agents, ensuring consistent execution environments.

Cross-Platform Workflow Execution: Supports agentic RPA workflows across macOS, Linux, and Windows operating systems.

Multi-LLM Provider Integration: Compatibility with multiple LLM providers including OpenAI, Anthropic, and others for flexible model selection.

Programmatic OS Control: Utilizes PyAutoGUI primitives for direct control of mouse, keyboard, and screen actions within the containerized environment.

Natural Language Task Execution: Enables the execution of complex computer actions through natural language commands via integrated LLM capabilities.

SDK and Gradio UI Integration: Offers both Software Development Kit (SDK) and Gradio User Interface (UI) options for straightforward integration and interaction.

Virtual Machine Management (Lume & Lumier): Includes tools for running macOS and Linux virtual machines on Apple Silicon (Lume) and macOS VMs via Docker (Lumier), extending the platform's utility for development and testing.

The primary users are AI developers, RPA engineers, and organizations seeking to automate complex tasks and integrate LLM capabilities into their workflows without managing underlying infrastructure.

The platform operates on a pay-as-you-go model, charging for compute resources utilized by the deployed AI agents, with no hidden fees or subscription lock-ins.