Archil provides data infrastructure for AI agent platforms, software factories, model training, user-facing agents, robotics companies, and research teams. Its platform gives agents governed access to production data and persistent workspaces without requiring copies, synchronization pipelines, or a separate sandbox to manage. Archil combines sources such as S3 buckets, Google Cloud Storage, and network file systems into a shared filesystem, with permissions that can be tailored to each customer, agent, or business.

Agents can use data in place and work with it using Bash, Python, or Node in serverless sandboxes. The platform supports persistent, versioned disks and databases, allowing teams to preserve agent files, create checkpoints, branch work for parallel attempts, and roll back unwanted changes. Agents can also publish generated artifacts and share files through a strongly consistent S3 API, enabling users and agents to collaborate on the same content.

Archil bills for active compute time rather than idle waiting and offers documentation, pricing information, and developer tools for TypeScript and Python integrations