cloudverse
For Platform Engineering

Put cost in the workflow, before the change ships.

Infrastructure, code, and AI changes flagged in the pull request. Velocity stays. Governance catches up.

The situation

Tests gate the merge. Cost doesn't.

You already gate code on tests and static analysis. Cost is the one thing that ships unreviewed and shows up weeks later on a bill nobody connects back to that pull request.

By then the expensive change is in production and the fix means rework. Torb puts the cost estimate in the pull request, where the person who wrote the change can still cheaply change it.

Pull request *
#1042 · tests passed
Cost impact *
Not checked at merge
Regresses to
Bill line *
Unattributed, 3 weeks later…
Compute · +$2,400/mo
Storage
Network egress
Unattributed
The cost of the gap

What ships unreviewed costs you.

  • Cost regressions noticed at the bill, not at review.
  • Always-on and oversized resources shipping without a second look.
  • Cost decisions with no clear owner, settled by month-end finger-pointing.
  • Rework, because issues get fixed in production instead of once, at the cheapest point.
What you ship

What platform teams ship with CloudVerse.

torb.app/pull/1042
infra/ec2.tf
-instance_type = m5.large
+instance_type = m5.2xlarge
Cost impact +$1,240 / mo

PR cost diff

Every infra PR gets an inline cost impact estimate before reviewers see it. Advisory or required, your choice. The governance happens where the work happens.

torb.app/policy.rego
AdvisoryRequired
This rule blocks 1 pending PR.
1rule cost_guard {
2if delta > $500 → block
3notify: #platform-eng
4}
Required mode blocks the PR until explicitly approved

Policy-as-code

Cost guardrails versioned in your repo. Advisory mode posts an estimate. Required mode blocks PRs above your defined cost threshold until explicitly approved. Both modes are code, not configuration buried in a third-party portal.

torb.app/pipelines
PipelineStatus
GitHub ActionsConnected
GitLab CIConnected
Azure PipelinesConnected
JenkinsConnected
ArgoConnected

Native CI integration

GitHub Actions, GitLab CI, Azure Pipelines, Jenkins, Argo. No new pipeline. Torb slots into what your teams already use.

torb.app/iac-formats
Scanned on every PR7+ formats
Terraform
OpenTofu
Pulumi
CloudFormation
Helm
Kubernetes
One integration. No pipeline change.

Multi-IaC support

Terraform, OpenTofu, Pulumi, CloudFormation, Helm, Kubernetes. Seven-plus formats. One integration.

How it works

How Torb controls
every infra change.

Read the docs

Torb sits in your CI pipeline. On each infra change it estimates the cost delta against your team's policy and posts it inline, with a fallback and a decision log.

A linter runs the rule you wrote. Torb works out whether that rule is still right.

Trigger
Running
Completed
When a new deal is created

Trigger when a new deal record is created.

Running
Completed
Web Agent

Enrich the record with web research.

Running
Completed
Custom Agent

Score the lead and route to the right AE.

Running
Completed
Add to Enterprise target list

Route lead to Enterprise and draft outreach.

Running
Completed
Add to SMB target list

Route lead to SMB and draft outreach.

The payback

Most teams recover the cost from a single prevented regression.

In a typical pre-production review, Torb flags around $2,400 of monthly spend before it ships. One catch pays for the tool. The figure below is illustrative of a single review.

torb.app/payback
Flagged before merge+$2,400/mo
Reviewed & confirmedSame PR
Tool pays for itselfFirst catch
Outcomes

Outcomes your team feels.

  • Cost. expensive changes caught before they ship, prevented at source.
  • Risk. fewer surprise bills and regressions reaching production.
  • Control. ownership on the people making the decision.
  • Productivity. less firefighting, issues fixed once at the cheapest point.
  • Velocity. guardrails that keep delivery moving, not blocking it.
  • Visibility. financial impact inside the workflow, not buried in a bill.
Who this is for

The people who ship the change.

Head of Platform Engineering

Cost sits next to tests and static analysis, one more gate the team already trusts.

Head of Platform Engineering
Platform leadership
Head of Development

Expensive changes get caught in review, not three weeks later on the invoice.

Head of Development
Engineering leadership
Head of Infrastructure Automation

Policy as code, versioned in the repo, with no separate portal to keep in sync.

Head of Infrastructure Automation
Platform engineering
DevOps / SRE leads

PR-level cost diffs mean fewer surprise regressions to firefight after the fact.

DevOps / SRE leads
Operations

Platform engineering questions, answered.

What platform and DevOps leads ask first.

No. It runs alongside CI and comments. It only blocks a merge if you set a required policy.
Terraform, Pulumi, CloudFormation, and Kubernetes, among others.
As code in the repo. Advisory warns; required blocks. Reviewed like any change.
Prevented regressions, tracked over time. Most teams clear the cost on the first catch.
Yes. It flags the new model call or chatty agent loop an AI-assisted commit adds.

Catch the cost in the pull request, not the invoice.

Cost impact on every infra, code, and AI change before it ships. Velocity stays.