AI Clouds / Agent Sandboxes

A Live Copy of Production for Every Agent

Give every AI agent its own full-size, up-to-date copy of production data in milliseconds. Silk's zero-footprint clones let you spin up thousands of agent environments and throw them away when you're done, while production keeps running at full speed.

Diagram: one production database on Silk is snapshotted and fanned out into many writable clones, one per AI agent, up to 4,000 per volume

Agents and Production Don't Mix

An agent can hit a database thousands of times in one session as it reads, writes and retries. Point that at production and you're risking the system that runs the business. Copy the data the traditional way instead and you wait hours, pay for a full duplicate, and the agent ends up working on stale data.

Without Silk

  • Hours to provision each copy
  • A full storage bill per copy
  • A handful of shared environments, with agents queuing for them

With Silk

  • A writable clone in milliseconds
  • Up to 4,000 clones per volume
  • No extra capacity until data changes
  • One isolated environment per agent
  • Production untouched

Built for Agents at Scale

What you need to offer agent sandboxes as a service.

Kubernetes native

Provision agent storage the way you provision agents. The Silk CSI driver lets Kubernetes create, snapshot, clone and attach volumes on demand, so a sandbox spins up in the same pipeline that starts the agent.

Clone the database, offload production

Each agent works on an instant, writable clone of production. Its reads and writes land on the clone, not the live system, so production keeps its performance while agents get real, current data.

Speed and scale

Clones are created in milliseconds, up to 4,000 clones per volume, and consume no extra capacity until they change. Run thousands of agent environments in parallel without a storage bill that grows with every copy.

Security and protection

Isolate every agent in its own copy. Volume masking ensures each agent's host can see only its own clone, and role-based access control governs who can create, attach and delete them. Snapshot before an agent acts and roll back if it gets something wrong.

From One Production Database to 4,000 Sandboxes

Every clone starts from the same point-in-time snapshot.

Production database

Running on Silk, at full speed

Instant snapshot

Point in time, no copy

  • Clone · Agent 1
  • Clone · Agent 2
  • Clone · Agent 3
  • Clone · Agent N

Run and evaluate

Isolated, writable, real data

Discard or promote

Delete when done, or keep the winner

Up to 4,000 clones per volume, each created in milliseconds.

What AI Clouds Build With It

Agent sandboxes are a service your enterprise customers will pay for.

Agent evaluation at scale

Test new prompts, models and tools against real data in parallel, before anything reaches production.

Reinforcement learning rollouts

Give every rollout an identical, reproducible starting state, then reset from a fresh clone for the next run.

Coding and data agents

Let agents run migrations, schema changes and heavy queries on a clone. Review the result, then apply it to production.

Sandbox as a service

Package isolated, data-rich agent environments as a premium offering, billed on top of GPU hours.

And production gets faster too

Silk runs underneath the production database itself, so the live system gets faster while it serves every clone your agents need.

Give Every Agent Its Own Copy of Production

See how Silk turns one production database into as many safe, isolated agent environments as your customers need.