Uncover hidden Shadow Waste across your Cloud, AI Platforms, and Live Workloads. Fix inefficiencies in minutes with Cloud-to-Code technology and Automated Pull Requests, and shift-left to prevent issues before deployment.
Detect, remediate, and prevent waste through Four Pillars
Detect 400+ types of Shadow Waste and hidden cost inefficiencies across Multi-Cloud, Kubernetes, AI Platforms, Data Cloud, and Code. Drive action with context and fixes.
Govern AI costs and address LLM, ML, and GPU waste before it compounds. Drive Agentic Remediation to streamline fixes with engineers in the loop, or fully automated.
Trace inefficiencies back to your Infrastructure as Code to resolve them via automated Pull Requests, and block future waste before deployment.
Uncover Application Inefficiencies no infrastructure scan can find through a lightweight Runtime Sensor. See what your workload actually does.
Reveal hidden cloud cost inefficiencies beyond the obvious - from complex service misconfigurations to architectural pitfalls, across Multi-Cloud, Kubernetes, AI Platforms, Data Cloud, and Code. Drive action with context and fixes. Accelerate resolutions with full technical context, remediation scripts, 1-Click fixes and Agentic Remediation.
Get full visibility into your LLM, ML, and GPU spend across all providers and setups. Stop AI waste before it compounds - including model selection, provisioned throughput, prompt caching, and agentic waste. Supercharge remediation by triaging inefficiencies and driving fixes via automated or engineer-in-the-loop workflows.
Trace inefficiencies to your Infrastructure as Code where applicable through Cloud-to-Code technology for instant Pull Requests. Prevent future waste before deployment using CI/CD policies.
A lightweight Runtime Sensor scans workloads and AI models across your VMs and containers, providing the runtime context needed to pinpoint Application Inefficiencies and drive down cloud costs.
We take the manual work out of cloud cost governance so you can accomplish more.