Cloudgov.ai verzeichnet 2.862 monatliche Besuche mit -15,7 % Wachstum gegenüber dem Vormonat und einem Preismodell „Kostenlose Testversion, Preise auf Anfrage“. nOps verzeichnet 97.959 monatliche Besuche mit +13,8 % Wachstum und einem Preismodell „Usage-based“.
Agentische KI, die Multi-Cloud-Verschwendung findet und behebt
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.
| Dimension / Kennzahl | | |
|---|---|---|
| Offizielle Domain | cloudgov.ai | nops.io |
| Preismodell | Kostenlose Testversion, Preise auf Anfrage | Usage-based |
| Monatliche Besuche | 2862 (2.862) | 97.959 (97.959) |
| MoM-Traffic-Delta | -535 (-15,7 %) | +11.896 (+13,8 %) |
| Primärmarkt und Anteil | 🌐 Global (—) | 🇺🇸 Vereinigte Staaten (52,2 %) |
| Direkte Besuche / Monat | 1117 | 32.028 |
| Nutzerbewertung | 4,1 | 4,4 |
| Unterstützte Plattformen | Website | Website |
Agentische KI, die Multi-Cloud-Verschwendung findet und behebt
Beschreiben Sie einen Agenten in einfacher Sprache und deployen Sie ihn mit Budgets, Richtlinien und Audit-Trails in Ihre Cloud.
Budgets pro Team, Kunde und Mitarbeiter, die vor Überschreitung eingreifen, über 200+ gesteuerte Modelle.
Verschwendung in AWS, Azure, GCP und Oracle finden, Ausgaben prognostizieren und Einsparungen ausführen statt nur zu berichten.
Erkenntnisse in Jira- oder ServiceNow-Tickets und IaC-Änderungen mit Genehmigungen, SLAs und Audit-Trails umwandeln.
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.
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.
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.
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.
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.
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