CosmosCost

CosmosCost is a tool designed to simplify how businesses manage their cloud spending. Many companies use multiple cloud services like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Keeping track of costs across these different platforms can be confusing, leading to unexpected bills and wasted money. CosmosCost brings all these costs together into one easy-to-understand dashboard.

Benefits

CosmosCost helps you see exactly where your money is going in the cloud. It translates complicated cloud terms into simple English, making it easy to compare costs between different services. The tool helps you find and fix surprise charges caused by things like unused resources or unplanned upgrades. It replaces time-consuming manual tracking with spreadsheets with a clear, up-to-date view of your spending. Unlike expensive enterprise tools that can cost thousands of dollars per month, CosmosCost offers this visibility at a much lower price.

Use Cases

This platform is useful for any business that uses cloud services and wants to control its spending. It helps teams identify resources that can be downsized, shut off, or combined to save money. The unified dashboard provides a clear overview, allowing users to quickly spot areas of waste. Because it runs advanced insights directly in your browser using your data locally, it offers a privacy-first approach to understanding your cloud costs.

Pricing

CosmosCost offers plans starting at $0 per month, with paid options going up to $99 per month. This makes it a very affordable option compared to other solutions.

Vibes

Teams using CosmosCost have reported significant savings, reclaiming over $2.4 million and reducing their average cloud spend by 84%. Many users have saved over $2,900 each month compared to what they would have spent on more expensive tools.

Additional Information

CosmosCost uses an open-source AI model called Llama 3.2 3B, which runs on your device for privacy. This is different from some competitors that send your data to external servers for analysis. The setup process is quick, taking about 5 minutes, and it supports major cloud providers like AWS, GCP, and Azure.