Cloudchipr is a comprehensive cloud optimization platform designed to help organizations manage and reduce their cloud costs through AI-powered intelligence and automation. The platform enables teams to gain visibility into cloud spending, identify savings opportunities, and implement automated actions across their entire cloud infrastructure.

Key features include AI-powered cost explanations that provide automatic insights on cost changes, spikes, and trends without manual analysis. The platform offers conversational AI capabilities allowing users to ask questions about cloud costs, usage, or trends and receive expert insights with generated charts and reports. Kubernetes AI recommendations help spot inefficiencies across Kubernetes clusters with actionable recommendations to reduce costs and improve performance. Infrastructure visualization enables DevOps AI agents to map cloud architecture and highlight bottlenecks, inefficiencies, and savings opportunities.

The platform provides billing explorer functionality for multi-cloud analytics dashboards to ensure visibility and accountability. Real-time dashboards offer full visibility into cloud costs with real-time insights, forecasting, and savings opportunities. Live resources tracking allows users to monitor costs in real time and link spend spikes to CPU, network, and other resource metrics. Dimensions functionality enables creating different dimensions based on dynamic rules to track, attribute, and allocate costs automatically.

Cloudchipr helps organizations save significant amounts on cloud costs while reducing engineering time spent on cost optimization. Customers report saving an average of $180,000 per month and engineering teams saving 200 hours monthly on average, with over $200 million saved in total so far. The platform enables automated workflows that continuously scan environments and clean up orphaned resources, preventing future waste.

The platform serves engineering, finance, and leadership teams across organizations, delivering value through features tailored to each group's needs. It integrates with multiple cloud providers including AWS, GCP, and Azure, and meets enterprise-grade security compliance requirements to ensure data confidentiality, integrity, and availability.