Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams
Cloudgov.ai records 2,862 monthly visits with -15.7% month-over-month growth and Free Trial, Contact for Pricing pricing. nOps records 97,959 monthly visits with +13.8% growth and Usage-based pricing.

Agentic AI that finds and fixes multicloud waste
| Dimension / Metric | ![]() | |
|---|---|---|
| Official Domain | cloudgov.ai | nops.io |
| Pricing Model | Free Trial, Contact for Pricing | Usage-based |
| Monthly Visits | 2.86K (2,862) | 97.96K (97,959) |
| MoM Traffic Delta | -535 (-15.7%) | +11.9K (+13.8%) |
| Primary Market & Share | 🌐 Global (—) | 🇺🇸 United States (52.2%) |
| Direct Visits / mo | 1.12K | 32.03K |
| User Rating | 4.1 | 4.4 |
| Supported Platforms | Website | Website |

Agentic AI that finds and fixes multicloud waste
Describe an agent in plain English and deploy it to your chosen cloud with budgets, policies and audit trails built in.
Per-team, per-customer and per-employee budgets that intervene before overspend, across 200+ governed models.
Find waste across AWS, Azure, GCP and Oracle, forecast spend, and execute savings rather than leaving them in reports.
Turn insights into Jira or ServiceNow tickets and IaC changes with approvals, SLAs and full audit trails.
Autonomous cloud cost optimization that pays for itself
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.
Unified observability, security and incident response for cloud-scale engineering teams
Unified observability, security and incident response for cloud-scale engineering teams

Agent orchestration platform for your whole software development lifecycle
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