


Cloudchipr is a cloud cost management platform that uses AI agents to help teams control, not just track, their cloud and AI spending. It provides granular attribution across multi-cloud environments and triggers automated workflows to fix inefficiencies in real time. The platform combines visibility, anomaly detection, automation, and FinOps AI agents to deliver measurable savings—customers report an average of $180k saved per month.
Cloudchipr’s AI agents continuously monitor your cloud environment, detect cost anomalies, and explain why they occurred. This helps teams quickly understand unexpected spikes and take corrective action without digging through raw data.
The platform lets you set up automated workflows that scan your accounts daily, clean up orphaned resources, enforce tagging policies, and fix inefficiencies. Customers like Digital.ai reduced AWS costs by up to 40% by eliminating idle resources this way.
Cloudchipr is built for complex, real-world multi-cloud environments (AWS, GCP, Azure). It provides a complete high-level visualization and detailed view of usage and saving opportunities, giving engineering and finance teams a single source of truth.
Data is collected securely via IAM roles (ReadOnly or Read/Write permissions) without accessing sensitive information. Cloudchipr only gathers resource usage metrics and identifiers, ensuring confidentiality, integrity, and availability of your data.
“Cloudchipr helps us save Six Figures annually on multi-cloud costs with Cloudchipr’s visibility, anomaly detection, automation, and FinOps AI agents.”
This quote from ServiceTitan’s team captures the platform’s core edge: it doesn’t just show you where money is going—it actively fixes waste through automation and AI. Combined with an average customer saving of $180k per month and over $200 million saved in total, Cloudchipr delivers tangible, repeatable results that go beyond dashboards.
You’re managing cloud costs across multiple providers and want to move from passive tracking to active control. If your team spends hours manually cleaning up resources or struggling to explain cost anomalies, Cloudchipr’s AI agents and automated workflows can save both time and money. It’s especially valuable for organizations aiming to cut cloud and AI waste by 30–60% while maintaining enterprise-grade security.
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