nOps is an automated cost optimization platform that helps teams manage cloud and AI spend with minimal manual effort. It targets FinOps, engineering, and finance teams looking for cost visibility, allocation and optimization across multicloud environments. The platform connects to cloud accounts, analyzes usage, and purchases the right mix of commitments to maximize savings. It emphasizes reducing long-term commitment risk while maintaining agility.
nOps operates without requiring agents or infrastructure changes. It maps usage patterns to discounts, continuously rebalances commitments and provides real-time visibility into savings, coverage and realized results. It supports multicloud, Kubernetes and AI workloads, helping organizations allocate costs to models, accounts, teams and customers.
The platform offers cost visibility dashboards, anomaly detection, unit economics and forecasting. It provides a FinOps AI agent to answer cost questions and helps identify optimization opportunities such as model choices and cache tuning. It presents results with an emphasis on hourly granularity and accountability across engineering teams.
nOps outlines plans, platforms and integrations as part of its product offering, describing cloud account connectivity, AI cost attribution and integration with common FinOps workflows. It presents budgeting and allocation capabilities across Bedrock, Claude and other AI services, along with a strategy for continuous optimization and governance across multi-account clouds.
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