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Market/Categories/Data & Analytics/CAST AI

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

CAST AIcast.ai

No product description has been published for this domain yet. Everything below is measured directly.

Data & Analyticscast.aiTracked since 2026-08-192 discovery sources
15.7KBacklinks
2.8KReferring domains
36Domain authority
+9.0%Referring domains · 90 days

Authority & distribution

How strong is CAST AI’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

15.7KCurrent snapshot

Referring domains

2.8KCurrent snapshot

Authority

36Domain authority · category median 22

90-day move

+9.0%Referring domains, last 90 days
At 36, CAST AI sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

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Traffic & engagement

Where CAST AI ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending CAST AI traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What CAST AI is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“CAST AI”

No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.

Data & AnalyticsSeen 2026-08-19 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://cast.ai/cloud-cost-monitoring

Observed across 2 discovery sources.

Research questions

What the evidence answers about CAST AI.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What does CAST AI's Kubernetes Cost Monitoring do?

It provides real-time tracking and detailed analysis of Kubernetes expenses down to the namespace, workload, and resource allocation group level. The platform helps users understand their cloud spending, identify cost drivers, and discover potential savings through automation features like bin packing and Spot Instance management.

What problems does CAST AI's Kubernetes Cost Monitoring solve?

It solves the problem of Kubernetes cloud waste and lack of cost visibility. The platform addresses issues like low CPU and GPU utilization, over-provisioning of resources, and hidden costs by providing detailed breakdowns and anomaly detection to help users optimize their spending.

What key features does CAST AI's Kubernetes Cost Monitoring offer?

Key features include a cluster dashboard for real-time resource utilization visibility, cost monitoring with detailed spending analysis, potential savings simulation, GPU utilization insights, network monitoring, and cost anomaly detection.

How does CAST AI's platform help users reduce Kubernetes costs?

It helps by first providing visibility into where money is spent, revealing issues like low average CPU utilization (8%) and GPU utilization (5%), and over-provisioning (69% of clusters). It then offers automation features for optimization and simulates potential savings.

In what product category is CAST AI classified?

CAST AI is classified in the Data & Analytics category, specifically as a platform for Kubernetes cost monitoring, optimization, and signals focused on querying, analyzing, and governing structured operational data.

Why is CAST AI considered an AI product?

It is considered an AI product because its core functionality for Kubernetes cost monitoring and optimization, such as cost analysis, anomaly detection, and automated optimizations, is deeply reliant on AI and data analysis technologies.

Who is CAST AI's Kubernetes Cost Monitoring designed for?

It is designed for teams and organizations managing Kubernetes clusters who need to track, analyze, and optimize their cloud infrastructure costs. The product is trusted by over 2100 companies globally.

What is CAST AI?

CAST AI is a platform for Kubernetes cost monitoring and optimization. It provides real-time visibility and detailed analytics to help organizations manage and reduce their Kubernetes cloud infrastructure expenses.

Behind the lock

Unlock full CAST AI intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which 4 of them do it, and the 5 pages they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured