Runloop

Founded by Jonathan Wall in 2024

Enterprise-grade platform for building, testing, and deploying AI coding agents at scale.

Pricing model

Free

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Runloop to develop, evaluate, and deploy AI coding agents efficiently. For Software Engineers and Machine Learning Engineers, it offers Devboxes—secure, sandboxed environments that replicate production settings, enabling safe code execution and testing. AI Research Scientists and Data Scientists benefit from Public and Custom Benchmarks to assess agent performance against industry standards or proprietary datasets. DevOps Engineers and Cloud Engineers can leverage Runloop's scalable infrastructure to manage thousands of parallel sandboxes, ensuring seamless integration into existing workflows. CTOs and Product Managers appreciate the platform's compliance with enterprise security standards, including SOC2 certification, and its ability to accelerate the transition from prototype to production, reducing deployment timelines by up to six months.

What Runloop does

Set up secure development environments for AI agents.Run AI agents against public benchmarks to measure performance.Design and implement custom benchmarks for specific use cases.Deploy AI agents in scalable, isolated sandboxes.Monitor and log AI agent activities for debugging and optimization.Integrate AI agents with existing code repositories and workflows.Perform regression testing to detect silent failures in AI agents.Fine-tune AI agents using reinforcement and supervised learning techniques.Devboxes: Secure, sandboxed development environments for AI agents.Public Benchmarks: Evaluate agents against industry-standard datasets like SWE-Bench.Custom Benchmarks: Create proprietary benchmarks tailored to specific codebases.Scalable Infrastructure: Manage thousands of parallel sandboxes with rapid startup times.Compliance: SOC2-certified platform ensuring enterprise-grade security.Repo Connections: Automatically infer build environments from git repositories.Snapshots: Save and restore development states for efficient experimentation.Observability: Comprehensive monitoring and logging with interactive shells.