Use your existing credentials
Link AWS, GCP, Azure, Kubernetes, Cloudflare, Hetzner, DigitalOcean, or GitHub — credentials stay on your machine.
From full-estate deep research scans to Kubernetes cluster exploration — pick a use case to see how it works.
Deep Research fans out across every connected provider, runs parallel analysis with multiple AI models and specialised subagents, and returns prioritised findings — cost drivers, misconfigurations, bottlenecks, and resilience gaps — all grounded in your actual infrastructure.
Watch a full walkthrough of Deep Research scanning a live multi-cloud environment, identifying findings across AWS, Kubernetes, and more, then drilling into each result.
Click through findings to see how Deep Research highlights affected resources, surfaces severity, and suggests concrete actions.
Link AWS, GCP, Azure, Kubernetes, Cloudflare, Hetzner, DigitalOcean, or GitHub — credentials stay on your machine.
Multiple AI models and specialised subagents analyze your infrastructure in parallel, covering cost, security, resilience, and topology.
Each finding includes severity, affected resources, evidence sources, estimated cost impact, and a concrete action label.
Ask about any finding to get deeper context, or export the full report as JSON or Markdown to share with your team.
Detect underutilised compute, orphaned storage, and provider concentration risks with estimated monthly savings.
Surface security misconfigurations that expose data or violate compliance before they become incidents.
Identify single points of failure in service graphs, cross-region latency risks, and scaling bottlenecks.
Flag services and databases running without redundancy, automatic failover, or health monitoring.
Connect an existing kubeconfig, scan deployed resources across namespaces, and ask questions about the cluster in plain English — pod status, service topology, recent events, resource utilisation, and more.
Install the desktop app, connect your providers, and run your first deep research scan in under two minutes.