CloudZero helps businesses optimize cloud spend with full visibility into costs—so they can reduce wasteful spending and improve their unit economics. Unlike other solutions, we take an engineering-led approach to cost optimization, helping teams understand what drives 100% of their operational cloud spend, empowering them to reduce risk, minimize waste, and maximize profit.
Learn more
FinOpsly is an AI-native control plane for managing Cloud, Data, and AI spend at enterprise scale.
Built for organizations operating across multiple clouds and data platforms, FinOpsly shifts FinOps from passive reporting to active, governed execution. The platform connects cost, usage, and business context into a unified operating model—allowing teams to anticipate spend, enforce guardrails, and take automated action with confidence.
FinOpsly brings together infrastructure (AWS, Azure, GCP), data platforms (Snowflake, Databricks, BigQuery), and AI workloads into a single decision and execution layer. With explainable AI agents operating under policy-based controls, teams can safely automate optimization, trace cost drivers to real workloads, and stop budget drift before it becomes a problem.
Key capabilities include:
Business-aware cost attribution across products, teams, and services
Predictive insight into cost drivers with clear, explainable reasoning
Policy-controlled automation to optimize spend without disrupting performance
Early detection and prevention of overruns, inefficiencies, and financial drift
FinOpsly enables engineering, finance, and platform teams to operate from the same source of truth—turning cloud and data spend into a controllable, measurable part of the business.
Learn more
IBM Cloudability
IBM Targetprocess, previously known as Apptio Cloudability, allows organizations to set team budgets while effectively forecasting and monitoring cloud expenditures. It provides a means to link cloud spending with business value, thereby facilitating informed decisions regarding cloud investments. By keeping a close watch on costs, users can address anomalies and identify rightsizing opportunities based on team, service, or project metrics. All expenses, including those associated with containers and support, can be accurately allocated to ensure that the full cost of cloud services is charged back to the business. The platform's rightsizing functionalities across leading cloud services help to minimize operational costs and generate funds for future initiatives. It empowers teams to take ownership of their cloud expenses, linking these costs to business outcomes for improved strategic planning. A thorough cloud optimization strategy is developed with a focus on achieving immediate cost reductions. Furthermore, this initiative includes a series of optimization suggestions that are synchronized with the organization’s goals, promoting accountability throughout the company and enhancing its overall financial health. This approach not only fosters better budget management but also encourages a culture of financial responsibility among teams.
Learn more
Cloud Cost Pro
Introducing Cloud Cost Pro, a premier solution for optimizing cloud expenditures and managing FinOps effectively. With Cloud Cost Pro, you obtain a comprehensive perspective of your multi-cloud landscape, enriched with practical insights, machine learning-driven suggestions, and automated processes to enhance your cloud operations. Propel improvements throughout your organization, refine your budgeting strategies, and uphold compliance with best practices for security and resilience. The tool automates the evaluation of best practices and responds to budget discrepancies and irregularities. Benefit from machine learning-enhanced cost predictions, anomaly identification, and tailored optimization guidance. Achieve thorough, detailed visibility into your cloud assets, ensuring that every dollar spent is justified. Effortlessly monitor multi-cloud expenses across various teams and departments, receiving nearly real-time insights to fine-tune cloud costs. With the capability for machine learning-driven anomaly detection, you can promptly deactivate any unapproved, expensive resources before costs escalate significantly. This proactive approach not only safeguards your budget but also fosters a culture of financial accountability within your organization.
Learn more
