Provides a multi-cloud cost management platform that delivers real-time visibility, precise allocation, and ML-driven optimization recommendations for cloud resources across AWS, GCP, and Azure. It helps FinOps and engineering teams identify inefficiencies, allocate costs with business context, and forecast budgets accurately, reducing cloud spend by 20-30% while enabling granular control over enterprise-scale environments.
Funding
$24.6M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
ASFounders
Product
Problem
Many organizations struggle with a lack of visibility and control over their cloud spending across multiple cloud providers, containerized environments, and various services. This complexity makes it difficult to accurately allocate costs, identify inefficiencies, and forecast future cloud expenditures, leading to budget overruns and wasted resources.
Solution
Yotascale provides a multi-cloud cost management platform that delivers end-to-end visibility, precise cost allocation, and machine learning-driven optimization recommendations. The platform empowers FinOps, engineering, and finance teams to gain granular insights into their cloud spend, enabling them to identify untagged resources, normalize tagging across cloud providers, and automatically tag dynamic services. By offering dynamic data views, actionable anomaly alerts, and AI-powered cloud cost insights via Yota Copilot, Yotascale facilitates proactive cost management and informed decision-making. The platform's budgeting and forecasting tools further enhance financial planning by providing predictive budget alerts and ML-based recommendations for savings plans and reserved instances.
Target Audience
Yotascale is designed for FinOps teams, platform engineering teams, finance departments, and engineering teams within mid-size to large enterprises that are managing complex, multi-cloud environments and seeking to optimize their cloud spending.
Features
- End-to-end cost visibility across multi-cloud environments, containers, and services
- Precise cost allocation with business context, including identification of untagged resources and automatic tagging of dynamic services
- Machine learning-based optimization recommendations for workload rightsizing and impact analysis on compute, network, and memory
- Predictive budgeting and forecasting tools with budget alerts and ML-based savings plan recommendations
- Yota Copilot, a GenAI-powered assistant for conversational access to cloud cost data and analysis
- Real-time cost anomaly detection with actionable alerts and clear ownership assignment
- Integration with major cloud providers (AWS, GCP, Azure) and other digital technology vendors like Snowflake and Datadog
- Customizable dashboards and self-serve reports tailored to different roles and scopes
- Support for Kubernetes cost visibility, tracking costs at the cluster, workload, namespace, and service level