cloud-cost-management
(6)
Keebo
Keebo is an AI company that autonomously lowers the cost of running cloud data warehouses on Snowflake and Databricks. Its patented Data Learning technology continuously monitors production workloads and applies real-time tuning - warehouse rightsizing, query routing and auto-scaling - while guarding performance with multi-layer SLAs. Customers report average verified savings around 27%, with some cutting Snowflake bills by 50% or more, and pricing is success-based so fees track the savings delivered.
Kion
Kion is a Columbia, Maryland software company that builds a self-hosted FinOps+ platform for managing cloud operations across AWS, Azure, Google Cloud, and Oracle Cloud. Founded in 2018 as cloudtamer.io and rebranded as Kion in 2021, the company combines cloud financial management, policy-based governance, and continuous compliance into a single platform that runs inside a customer's own cloud environment. Its software is used by commercial, higher-education, and government organizations - including NASA, the CDC, Verizon, and Indeed - to control cloud spend, enforce guardrails, and automate account provisioning through retirement.
Vantage
Vantage is a New York-based cloud cost management platform that helps engineering and finance teams analyze, report on, and reduce their cloud, SaaS, and AI spend. Founded in 2020 by former DigitalOcean and AWS product leaders, Vantage consolidates billing data from AWS, Azure, Google Cloud, Kubernetes, and 20+ providers - including OpenAI and Anthropic - into a single self-service interface built for developers, not just FinOps specialists.
Yotascale
Yotascale is a Palo Alto-based cloud cost management and FinOps platform that helps enterprises allocate, optimize, budget and forecast their spend across AWS, Azure, Google Cloud and Kubernetes. Founded in 2015 by former PayPal platform-engineering head Asim Razzaq, the company takes an engineering-first approach to the 'spend attribution problem,' tying cloud costs back to the teams and services that generate them so engineers, finance and executives can share accountability. It is used by companies such as Zoom, Hulu, Okta and other Fortune 1000 firms, and has raised roughly $25 million to date.
Unravel Data
Unravel Data is a Mountain View, California company building an AI-native data observability and optimization platform. It plugs into modern data stacks - Databricks, Snowflake, Google BigQuery and Cloudera - and uses AI, machine learning and a context graph of workloads, infrastructure and users to automatically troubleshoot, tune and control the cost of data pipelines. Where most monitoring tools stop at telling teams what is wrong, Unravel aims to fix it: its newest engine, Arvix AI, rewrites code, reconfigures infrastructure and validates the changes before deploying them, so data engineers can build instead of firefight.
nOps
nOps is an AI-powered FinOps platform that automatically optimizes AWS cloud costs for enterprises. Managing over $4 billion in annual cloud spend across 600+ customers, nOps uses machine learning to intelligently provision compute resources, manage AWS commitments, and deliver 50%+ cost savings without operational overhead. The company's Compute Copilot product integrates with Karpenter to optimize Kubernetes workloads, while its Clara AI agent answers cost questions and executes optimization tasks.