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.