Keebo Reviews

FinOpsly helps enterprises regain control of cloud, data, and AI spend—and turn it into measurable business value. As organizations scale across AWS, Azure, GCP, and modern data platforms like Snowflake, Databricks, and BigQuery, technology costs become harder to predict, explain, and control. FinOpsly addresses this challenge by connecting technology spend directly to business outcomes—and enabling teams to act on it in real time. FinOpsly unifies cloud infrastructure, data platforms, and AI workloads into a single operating model where spend is planned upfront, monitored continuously, and optimized automatically. Using explainable, policy-driven AI, the platform helps organizations reduce waste, prevent overruns, and align technology investments with business priorities—without slowing down innovation. With FinOpsly, organizations can: Understand exactly where money is going across AWS, Azure, GCP, Snowflake, Databricks, and BigQuery Plan and forecast costs earlier, before new cloud, data, or AI initiatives are deployed Automate optimization safely, using governance rules aligned to business risk and performance needs Deliver measurable financial impact quickly, often within weeks rather than quarters FinOpsly enables IT, finance, and business leaders to operate from a shared view of spend and value—bringing Value-Control™ to cloud, data, and AI investments at enterprise scale.

The CloudZero Platform is uniquely positioned as the only cloud cost management tool that combines real-time engineering activities with financial data, helping users understand how their engineering decisions affect costs. Unlike typical cloud cost management solutions that focus solely on historical spending, CloudZero is specifically designed to help users recognize variations in costs and the underlying factors that contribute to them. Analyzing total spending can often obscure the identification of cost surges. To overcome this challenge, CloudZero utilizes machine learning technology to detect spikes in specific AWS accounts or services, facilitating proactive measures and informed planning. Aimed at engineers, CloudZero allows for meticulous examination of each line item, empowering users to respond to any questions, whether they stem from anomaly notifications or financial inquiries. This granular approach guarantees that teams retain a comprehensive insight into their cloud financials, ultimately supporting better decision-making and resource allocation. By fostering a deeper understanding of cost dynamics, CloudZero enables organizations to optimize their cloud spending effectively.

Espresso AI is an advanced platform designed to optimize data warehouse performance, significantly reducing compute and query costs for systems like Snowflake and Databricks SQL through the use of machine-learning agents that manage scaling, scheduling, and query rewriting in real-time. The platform incorporates three crucial agents: an autoscaling agent that predicts workload increases and minimizes idle computing resources, a scheduling agent that effectively allocates queries across various clusters to improve utilization and decrease downtime, and a query agent that leverages large language models and formal verification methods to rewrite SQL, ensuring consistent results while boosting performance. Promising quick deployment, Espresso AI asserts that users can begin utilizing the service within minutes rather than months, and it operates on a pricing model based on the actual savings it creates, meaning there are no costs if it doesn’t reduce expenses. By automating numerous optimization decisions daily, Espresso AI not only delivers substantial cost reductions but also enables engineering teams to focus on developing features that enhance overall value. This transformative approach empowers businesses to maximize their data warehouse capabilities without the typical burdens associated with data management, ultimately reshaping how they interact with and leverage their data resources for strategic advantage. As organizations increasingly rely on data-driven insights, tools like Espresso AI will play a pivotal role in streamlining operations and driving innovation.