AI Agent Infrastructure Platform with Sandboxes (Cloud or VPC)

Runloop provides secure, isolated Devbox sandboxes and high-throughput execution infrastructure for AI agents, code generation tools, and enterprise evaluation workflows. The platform is built for organizations adopting agentic systems and in need of fast, reproducible, and scalable execution environments for development, testing, and automated assessment.

Runloop is offered as both a fully managed cloud service and an optional deployment inside your AWS VPC. This flexibility allows enterprises to choose the operating model that best fits their security, compliance, and integration requirements while maintaining a unified developer experience and performance profile across both modes.

At the core of the platform is the Devbox environment, a secure micro-VM that executes code in isolation with sub-second startup and p95 command execution under 50ms. Devboxes scale to more than 30,000 concurrent instances, enabling large-volume agent rollouts, parallel test runs, and multi-trajectory workloads for advanced agentic systems.

Runloop includes a fully integrated benchmarking system designed for accuracy, reproducibility, and large-scale automation. Benchmarks can be used to:

• Evaluate agent reliability and behavior across versions, models, or configurations
• Run full regression suites to identify performance drift or unexpected changes in agent reasoning
• Compare model variants during development, fine-tuning, or vendor selection
• Generate reproducible test results using isolated, deterministic execution
• Drive reinforcement fine-tuning (RFT) workflows that require consistent environments for millions of trajectories

In addition to public benchmarks, Runloop supports custom benchmarks that reflect an organization's own domain, systems, and success criteria. Custom benchmarks can incorporate internal workflows, business logic, multi-step tasks, integration scenarios, or application-specific scoring functions, enabling highly targeted evaluation and continuous improvement of AI agents in real production contexts.

The platform simplifies operations by eliminating the need for enterprises to design and maintain their own sandboxing systems. Runloop provides reproducible Devbox environments, extremely fast startup times, stable execution, and built-in tooling for automated evaluation at scale. Teams use Runloop to develop, test, and deploy AI agents with confidence across cloud or VPC environments.

With its combination of high-performance Devbox execution, integrated benchmark capabilities, and flexible deployment options, Runloop enables organizations to scale AI agent development and evaluation securely, efficiently, and with full operational control.