Polymet is an AI-powered cloud cost optimization platform designed for Kubernetes and cloud-native environments. It provides deep visibility into cloud spend, identifies optimization opportunities, and automates cost-saving actions to reduce infrastructure expenses.
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Sign InPolymet is an AI-driven cloud cost optimization platform specifically engineered for Kubernetes and cloud-native environments. Its core value proposition lies in providing deep, actionable visibility into cloud spending, automatically identifying significant cost-saving opportunities, and enabling automated or guided actions to reduce infrastructure expenses without compromising performance or reliability. By leveraging machine learning, it moves beyond simple monitoring to offer intelligent recommendations and automation for continuous cost control.
Key features: The platform delivers comprehensive cost visibility with detailed breakdowns by cluster, namespace, and workload. It identifies optimization opportunities such as rightsizing underutilized resources, eliminating idle or orphaned assets, and recommending reserved instance purchases. A standout capability is its automated action engine, which can safely implement cost-saving measures like scaling down resources or shutting down non-production environments on schedules. It also provides forecasting, anomaly detection for unexpected spend spikes, and detailed reporting for accountability across teams.
What sets Polymet apart is its deep integration and native understanding of Kubernetes semantics and cloud-native architectures, allowing for more granular and context-aware recommendations than generic cloud cost tools. It integrates directly with major cloud providers (AWS, GCP, Azure) and Kubernetes APIs to gather real-time data. The AI engine continuously learns from environment patterns to improve its suggestions, and the platform emphasizes safe automation with approval workflows and rollback capabilities to ensure operational stability while cutting costs.
Ideal for DevOps teams, platform engineers, and FinOps practitioners managing containerized applications in public clouds. Specific use cases include companies running large-scale Kubernetes deployments seeking to control escalating cloud bills, startups aiming to optimize infrastructure spend for runway extension, and enterprises needing to implement chargeback or showback models across development teams. It is particularly valuable in technology, SaaS, e-commerce, and any industry heavily reliant on dynamic, cloud-native infrastructure.
As a freemium tool, Polymet offers a free tier with basic visibility and recommendations for smaller deployments, while its paid plans, which include advanced automation and enterprise features, typically start at a monthly fee per cluster or based on managed cloud spend, making it accessible for teams of various sizes.