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OpenSandbox

Funded

Universal sandbox infrastructure for secure AI application runtimes

About OpenSandbox

OpenSandbox provides a robust cloud infrastructure platform designed to securely run AI workloads within isolated sandbox environments. It enables enterprises to provision, monitor, and manage sandbox instances using Docker and Kubernetes, supporting a wide range of AI development scenarios including coding agents, browser automation, remote development, AI code execution, and reinforcement learning training. The platform offers multi-language SDKs and unified APIs for Python, Java/Kotlin, and JavaScript, facilitating seamless integration into existing AI workflows.

Targeted at enterprise organizations requiring secure, scalable, and reproducible AI runtime environments, OpenSandbox addresses the challenges of executing model-generated code, managing complex AI workloads, and maintaining operational control over sandbox lifecycles. Its architecture supports real-world AI applications by providing controlled runtime environments with capabilities such as shell command execution, file management, port exposure, and streaming of logs and metrics, ensuring operational transparency and security compliance.

Key Capabilities

✓Isolated sandbox runtime environments for AI workloads
✓Lifecycle management with Docker and Kubernetes integration
✓Multi-language SDKs and unified APIs
✓Support for coding agents and browser automation
✓Managed reinforcement learning training environments

Integrations

DockerKubernetesVS Code Web

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This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .