CloudKeeper, an AI and cloud cost optimization partner, has announced the launch of Full Stack FinOps for AI, a platform designed to help businesses track AI-related expenditure across models, applications, software licenses and cloud infrastructure.
CloudKeeper has launched Full Stack FinOps for AI to help businesses track AI-related expenditure in one place.
The platform covers AI inference and model costs across models, providers, workloads and applications.
It tracks AI license costs, AI infrastructure costs, token usage analytics and GPU cost and utilization analytics.
A multi-cloud dashboard consolidates cost and usage data across AWS, Microsoft Azure and Google Cloud.
The platform supports the Model Context Protocol, allowing businesses to connect their own LLMs and access AI cost insights within existing AI workflows.
Businesses can explore the platform with 30 days of free access.
CloudKeeper has over 15 years of cloud cost optimization experience and has helped 400+ global companies reduce cloud and AI spend by an average of 20%.
"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 and LLM costs span beyond model and token usage alone. The licenses, 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.
As organizations 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.
About CloudKeeper
CloudKeeper is an outcome-driven AI and cloud cost optimization partner, combining FinOps expertise, proprietary technology and hands-on execution to help organizations improve cost efficiency across their cloud and AI environments. With over 15 years of cloud cost optimization experience, CloudKeeper has helped 400+ global companies reduce cloud and AI spend by an average of 20% across AWS, Microsoft Azure and Google Cloud. Its outcome-based model delivers ongoing savings without upfront costs or long-term commitments.
