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maximum cloud cost reduction in 90 days
faster anomaly detection
higher engineering adoption of cost actions
Standardize, analyze, and operationalize cloud cost data across multi cloud environments,
closing the gap between finance visibility and engineering execution.
Standardize, analyze, and operationalize cloud cost data across multi cloud environments, closing the gap between finance visibility and engineering execution.
A single standardized source of truth for all cloud and Kubernetes spend built on the FinOps Open Cost and Usage Specification (FOCUS). Enables accurate allocation, showback, chargeback, and ownership across teams.
AI continuously monitors spend, detects anomalies within minutes, explains root causes, and quantifies financial impact before overruns become surprises.
Rightsizing, idle resource cleanup, commitment modeling, and spot optimization, with every recommendation risk scored and governed by policy.
Cost actions are delivered directly into Jira, Slack, and ITSM tools as prioritized and explainable tasks with rollback guidance, driving real execution rather than ignored dashboards.
Rolling forecasts, variance explanations, KPIs, and CFO ready dashboards powered by AI for finance leaders.
We start with a clear data roadmap and leverage our AI-native expertise to build an enterprise-grade foundation that is secure, governed, and continuously optimized at scale.
We secure your AI workloads with industry-ready compliance and an AI-native security force that unifies networking, AI, and security teams, ensuring every layer of AI is defended.
We act as an extension of your team, sharing both the risk and the reward by charging only when outcomes are achieved, making AI FinOps tools accessible and scalable.
A global healthcare and life sciences leader leveraged Copilot-powered AI chatbots to streamline collaboration across departments. By integrating these bots into their Microsoft ecosystem, the client eliminated redundant manual tasks, improved communication consistency, and significantly boosted team productivity.
An AI driven system that continuously analyzes cloud usage and spend, detects anomalies, forecasts costs, and automates optimization while integrating engineering workflows for execution.
Gruve goes beyond dashboards by embedding explainable AI and agentic workflows directly into Jira, Slack, and ITSM tools, turning insights into action.
Yes. Gruve provides granular Kubernetes allocation and unifies it with cloud provider billing in a single cost lake.
Yes. Gruve uses policy-controlled automation, human approvals, and full auditability to ensure governance and compliance.
Most customers realize measurable savings within the first 90 days of deployment.