nOps is an automated cloud cost optimization platform that combines AI-powered cost visibility with autonomous commitment management. It continuously purchases and rebalances AWS, Azure, and GCP savings commitments to raise your effective savings rate, while giving FinOps, engineering, and finance teams hourly visibility into multicloud, Kubernetes, SaaS, and AI costs.
nOps is an automated cloud cost optimization platform that combines AI-powered cost visibility with autonomous commitment management. It continuously purchases and rebalances AWS, Azure, and GCP savings commitments to raise your effective savings rate, while giving FinOps, engineering, and finance teams hourly visibility into multicloud, Kubernetes, SaaS, and AI costs.
Autonomous commitment management
An autonomous engine maps your usage patterns hourly, buys the optimal mix of Reserved Instances, Savings Plans, and committed use discounts, and rebalances continuously to keep discounts high without locking you into long commitments.
Cost visibility and allocation
See multicloud, Kubernetes, SaaS, and AI spend at hourly granularity, with business context, forecasting, anomaly detection, and unit economics that show what actually drives cost.
AI cost intelligence
Allocate hourly AI spend to the model, account, team, customer, and feature behind it, covering providers such as Amazon Bedrock, OpenAI, Claude, and Cursor, with recommendations for token efficiency, model choice, and caching.
Savings tracking and workflows
Track Effective Savings Rate, commitment coverage, and realized savings in real time, and route alerts and tasks into tools like Slack, Jira, Datadog, and Snowflake.
強み・メリット
+Automated commitment purchasing and rebalancing removes recurring manual work
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特化型Windward is a Maritime AI™ platform that fuses multi-sensor maritime data with behavioral analytics to deliver mission-grade, all-source operational intelligence for defense, government, and commercial organizations.
特化型SymphonyAI builds vertical AI applications, agents, and copilots that are tuned to specific industries rather than left generic. Its Eureka AI Platform provides predictive modeling, a low-code agent builder, and prompt-based app generation on top of an AI-ready data foundation, while its industrial IRIS Foundry platform supplies data connectors, a knowledge graph, and pre-built agents for the plant floor.
