For Platform & Operations

Set the rules once. Let teams move, keep control.

Give developers and agents autonomy without giving up control. What they can deploy, where, and under which guardrails is decided by you once, then enforced at every deploy and kept true afterwards.

Try it live Book a demo
From Day One

What your first week looks like.

Scan and import

Your current infrastructure is imported and keeps running. Nothing has to be rewritten for you to start.

Manual changes don’t last

A change made in the cloud provider's console is undone, the declared state comes back, and the event is logged.

Fewer tickets

Teams serve themselves inside the limits you set, so your time goes to the platform instead.

Rolling out an update

It reaches every environment (Live System) built on it, instead of one apply run after another.

In Practice

Your rules, your existing tools, the platform does the heavy lifting.

Declared state and actual state, with the difference restored

Reconcile drift without human intervention

A change made by hand in the cloud provider's console diverges from what you declared. The agent in that environment restores it within minutes and logs the event as audit evidence.

Policy checks letting one change through and refusing another at deploy

Reject non-compliant changes at deploy

Encryption, RBAC, network policy, logging and tagging live inside the Fractal your teams build from. A change that breaks them is refused at deploy, not flagged later in a review.

Existing Terraform still running, with versioning, reconciliation and rollout added on top

Keep the Terraform you already have

No rewrite, no migration project. Existing Terraform is imported as it is and gains what it never had: versioning, continuous reconciliation and updates rolled out under control.

Your Fractal Library

Design the environment once, deploy it as often as you need.

Infrastructure repeats. The same handful of patterns comes back on project after project. A Fractal captures one of those patterns as something you can deploy as a running system: the blueprint describes the infrastructure it is made of, and the interface is the approved way teams can extend it, what they can set, and what they cannot. Because it is explicit, one Fractal serves many projects instead of being copied and changed.

Together they are one Fractal. Your team builds it once, reviews it once, and it is then instantiated as many times as needed, each instance governed the same way.

Fractals are versioned. You publish v2.4, teams deploy v2.4, and you decide when they move on. The library is yours, and it grows with every pattern your organization settles on.

A blueprint and its interface, together one versioned Fractal
Watch It Happen

A change at 02:14, resolved by 02:18.

Nobody is paged, nothing waits for the morning, and the record is written as it happens.

Control

Self-service, still under control.

One library, scoped per team

Each team sees only the Fractals it is cleared to deploy, in which environments, and where approval is still required. The limit is the library itself, not a review at the end.

Agents inside the same limits

An agent is a user like any other. You raise its autonomy when it has earned it and lower it whenever you want, and every action it takes is attributable.

One view across the fleet

Every environment, on every provider, with its version, its drift status and its owner. Clusters and environments stop being a spreadsheet someone maintains by hand.

Adoption

Scan what you run, then import it. No downtime.

A scan of cloud accounts bringing resources under governance

Discovery scans your cloud accounts and lists what is already deployed. You choose what to import, and those resources come under governance while they keep running. No migration window, no downtime, no rewrite.

  • Read-only scan first: you see the inventory before anything changes
  • Import one team or one account at a time, no big-bang cutover
  • Versioning, reconciliation and policy added on top of what exists

Start from what you already run

See the full path, from the first scan to the first imported environment, step by step.

See how adoption works