NewsHK
As the cost of running AI agents and large language models scales across enterprise cloud environments, the demand for granular consumption data has outpaced what most observability tools were built to provide.
DoiT, the Santa Clara company behind Cloud Intelligence™, introduced Attribute™ on July 7, a product it says measures real-time AI consumption at the kernel and connects every token, model request and GPU cycle to the specific customer, feature or agent that drove it.
The tool is designed to work without tags, SDKs or code changes. What Attribute™ measures and how The kernel-level approach is the distinguishing technical claim.
Rather than relying on developer-added instrumentation, Attribute™ intercepts consumption data where the compute actually happens.
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