CloudKeeper has launched Full Stack FinOps for AI, a platform designed to help businesses track AI-related expenditure across models, applications, software licences and cloud infrastructure.
As organisations adopt AI across different functions, their spending can span multiple model providers, applications, teams and infrastructure environments. Understanding the total cost of these deployments can be challenging when usage and expenditure are tracked across separate systems.
Full Stack FinOps for AI brings these cost elements together through a unified dashboard, providing visibility into key areas of AI expenditure. The platform enables businesses to track spending across AI models, providers, workloads and applications, while also providing visibility into software licences, providers, teams and associated expenditure.
The platform also provides visibility into cloud infrastructure costs associated with AI workloads and enables businesses to monitor token consumption and spending patterns across AI models. Its GPU cost and utilisation analytics allow teams to examine GPU usage, infrastructure costs and potential underutilisation.
The platform’s multi-cloud dashboard consolidates cost and usage data across AWS, Microsoft Azure and Google Cloud.
Full Stack FinOps for AI also supports the Model Context Protocol (MCP), allowing businesses to connect their own large language models (LLMs) and access AI cost insights and recommendations within their existing AI workflows.
“Businesses need a clear understanding of their AI spending to make confident decisions about how they adopt and scale AI. With Full Stack FinOps for AI, we want to help them bring all the cost insights together into one view, understand their spending and make better-informed decisions about their AI investments,” said Deepak Mittal, CEO, CloudKeeper.
“AI/LLM costs span beyond model and token usage alone. The licences, GPUs, and cloud infrastructure supporting AI workloads also contribute to the overall cost. By bringing these elements together, the platform helps teams examine their AI expenditure in context. MCP support also allows them to access cost insights within their existing AI environments,” said Sanjeev Mittal, CPTO, CloudKeeper.
Businesses can explore the platform with 30 days of free access.
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