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CloudPivot

Integrations

Meet your stack where it already is.

Clouds, clusters, chat, and every major LLM provider — one control plane reads them all, and executes where you allow it.

Cloud providers

Amazon Web Services

Deep execution: schedules, rightsizing, storage and network fixes applied via scoped IAM roles.

Microsoft Azure

Inventory and spend visibility across subscriptions, unified with the rest of your bill.

Google Cloud

Project-level inventory and spend visibility in the same control plane.

Containers & Kubernetes

Amazon EKS

Node-group off-hours scheduling, extended-support fee traps, namespace cost splits.

Kubernetes

Orphaned volumes, zombie load balancers, and pod-level advisory guidance.

Workflow

Slack

The full recommendation lifecycle — approve, snooze, dismiss — routed to resource owners.

Microsoft Entra ID

Enterprise SSO with just-in-time provisioning, RBAC, and a unified audit log.

AI providers

Anthropic

Token-class breakdown for Claude — cache reads, cache writes, and effective $/M.

OpenAI

Per-key, per-model spend normalized into your AI cost ledger.

Amazon Bedrock

Bedrock usage unified with the rest of your AWS bill — and the runtime for our agent.

Azure OpenAI

Deployment-level token spend, mapped to teams and products with virtual tags.

Google Vertex AI

Gemini and Vertex model spend, normalized against every other provider.

OpenRouter

Routed multi-model traffic, attributed to the use cases that generate it.

xAI

Grok token spend in the same ledger, same units, same anomaly detection.

Depth, honestly

Execution runs deepest on AWS.

Schedules, storage migrations, and network fixes execute on AWS today via scoped IAM roles. Azure and Google Cloud get full inventory and spend visibility in the same control plane — with execution parity on the roadmap. We'd rather tell you that here than let a sales deck imply otherwise.

Connect an account. See what it finds.

Read-only discovery IAM, a found-money scan in minutes, and nothing executes until you approve it.