Sandboxed code execution
“Using Modal, Codegen has been able to move at lightning speed with full-stack AI development. The product is designed with developer experience front and center, and my team is incredibly happy having it as part of our arsenal.”
“We use Modal to securely run LLM-augmented code on a large scale. Modal’s powerful primitives like sandboxes and file systems have allowed us to focus on our core competencies without having to waste time on our own infra.”
“We had a real challenge running generated code that we couldn’t directly review. Modal Sandboxes let us confidently and safely allow Hunch users to build workflows that execute arbitrary code. Without Modal, we wouldn’t be able to offer this as a flexible solution.”
Safe code execution
Execution of AI-generated code
Run code snippets created by language models or submitted by users in a secure environment.
LLM evaluations
Test the latest LLM models for safety and quality.
gVisor-based runtime
Rely on strict security and isolation guarantees from our battle-tested containerization technology.
Fully programmable container environment
Universal code execution
Orchestrate and run any kind of code or container image, even if even if it's not Python-based.
Out of the box interactivity
Execute processes in an ongoing sandbox session, and get input/output streaming with each.
Advanced sandbox features
Persistent data management
Maintain stateful data across sessions with dynamically-provisioned network file systems.
Network accessibility
Create tunnels to expose ports inside the sandbox.
Network security
Control over outbound networking.
Try it out
Use Cases