Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 21 → 25 of 78
2 categories · RankedCAST AI
45Judge labels
0First choices
8Negative labels
11 / 14Models named it
2Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
0% in FinOps for mid-market buyers
Rank 19 of 76 in the mid-market standingaccepted challenger
0 of 14 models made it the first choice on the direct prompt; 17% of its 18 labels there were negative.
What the models named instead of CAST AI →By buyer segmentRead the same way at every buyer size.
Small business26 of 83
0%16 labels
accepted challenger
Mid-market19 of 76
0%18 labels
accepted challenger
Enterprise21 of 73
0%9 labels
under the label threshold
In finops · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading
Standing by category
Every category where a model named CAST AI for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Cloud cost management | Cloud and infrastructure | 0% | 19 of 76 | 17% | 18 | accepted challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Managed Kubernetes platforms | Cloud and infrastructure | 0% | 46 of 52 | 100% | 1 | under 10 labels · led by Google Kubernetes Engine at 43% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
Movement
Since September 2026, CAST AI held within the floor in all two categories: no change cleared 11 points.
Best category · FinOps · by segment
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 16 → 18 of 70
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 11 → 21 of 71
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| FinOps | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 16 → 19 of 76 |
| Managed Kubernetes | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 31 → 46 of 52 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
By model
How each model treated CAST AI across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated CAST AI across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 4 | 0 | 0 | 4 |
| Perplexity Sonar | 0 | 0 | 0 | 1 | 1 |
| Grok 4.20 | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 1 | 1 | 1 | 3 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 1 | 1 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 1 | 3 |
| MiniMax M2.5 | 0 | 0 | 1 | 1 | 2 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 2 | 0 | 2 |
By framing
Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct9 labelsNone
Paraphrase4 labelsNone
Comparative9 labelsNone
Budget-constrained3 labelsNone
Scale-constrained9 labelsNone
Negative11 labelsNone
First choiceAlternativeMentionNegative45 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.
What the models said for it
Verbatim evidence the judge attached to positive labels.
“CAST AI automates container rightsizing, autoscaling, and spot instance usage in real-time” Gemini 3.5 Flash · FinOps · paraphrase prompt · alternative
“Kubernetes-specific: If relevant, node/spot optimization (e.g., CAST AI excels here).” Grok 4.20 · FinOps · scale prompt · alternative
“Best for Autonomous Optimization & Automated Savings: *PointFive, Cast AI, Sedai*” Gemini 3.5 Flash · FinOps · scale prompt · alternative
“Add commitment automation (ProsperOps/nOps) and Kubernetes tools (Cast AI)” Kimi K2 · FinOps · comparative prompt · alternative
And against it
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“strong automation and cost-optimization features, but the entry pricing is much higher than DigitalOcean or Civo” Perplexity Sonar · Managed Kubernetes · budget prompt · soft negative
“Scaling problems – Users report significant scaling issues, especially during traffic spikes” GLM 4.7 FlashX · FinOps · negative prompt · soft negative
“Reports of scaling issues during traffic spikes causing disruptions” MiniMax M2.5 · FinOps · negative prompt · soft negative
“Cautious if you have small clusters or stateful workloads” DeepSeek V4 Flash · FinOps · negative prompt · soft negative
Named alongside
The products named in the same answers as CAST AI, over the 45 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and CAST AI was named but was not.ShowHide
Named alongside
The products named in the same answers as CAST AI, over the 45 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and CAST AI was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.
What carried it into the answer
The sites and pages cited by the answers that named CAST AI. A fact about retrieval, not a lever on the model.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 45 of the 45 answers that named CAST AI and are not a share of its labels.
Domains cited
cloudaware.com34
cloudzero.com32
nops.io26
amnic.com21
openmetal.io20
finout.io18
vantage.sh17
g2.com15
pointfive.co15
learn.g2.com13
211 of the 211 domain citations in answers naming CAST AI came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
cast.ai ranks 3 on Google for the category's searches. In the answers, CAST AI takes 0% of first choices and Vantage takes 45%.ShowHide
Search and answers
cast.ai ranks 3 on Google for the category's searches. In the answers, CAST AI takes 0% of first choices and Vantage takes 45%.
ShowHideIn search
Google, US estimatesPosition for “cloud cost management platform”
3
Position for “cloud cost management platforms”
3
- Searches for its name, Google
- 1,900 a month (“cast ai”)
- AI search demand for its name, est.
- 63 a month
- Organic visits to its site
- about 7,198 a month
- Searches its site ranks for
- 9,890 · 61 in the top three
- Sites linking to it
- 2,903
- Paid Google search
- 2 searches its ads show for, about 5 clicks and $181 a month (estimate)
In answers
This editionShare of first choices
0%
rank 19 of 76 in finops
Segment leader
45%
Vantage
- First choices
- 0 across its categories
- Named in
- 45 answers
- Its own site cited
- in 45 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on cast.ai
1,818
subdomains included
Content
494
counted in the table below
Documentation
1,245
Product · Integration
3 · 0
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 267 | 39 | 2026-09-28 | FinOps, PAM | |
| News or press | 81 | 4 | 2026-08-04 | FinOps | |
| Case study | 64 | 3 | 2026-09-09 | ||
| Webinar or virtual event | 30 | 2 | 2026-09-07 | ||
| Comparison | 26 | 7 | 2026-09-28 | APM | |
| Conference or event | 12 | 0 | 2026-03-12 | ||
| Report or ebook | 5 | 0 | 2026-06-26 | ||
| Template or tool | 5 | 1 | 2026-07-09 | ||
| Glossary or explainer | 4 | 2 | 2026-08-05 |
Most recent
- 2026-09-28Cast ai vs skypilot comparison
- 2026-09-28Kubernetes configuration drift blog
- 2026-09-25Kueue gpu scheduling cost blog
- 2026-09-22Kubecost migration blog
- 2026-09-21Automated vs autonomous kubernetes comparison
- 2026-09-21Ai sre cost automation blog
How it is countedHide how it is counted
Every page cast.ai exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Names read as CAST AI
What the judge wrote, as written, with how often. The vendor table decides that these count as CAST AI; a claim can dispute any of them.
Cast AI 5
Follow CAST AI
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
The company
CAST AI is its own company.ShowHide
The company
CAST AI is its own company.
ShowHideIn its own words
Stated by the vendor, not checked- Positioning
- Kubernetes optimization platform for reliability and performance.
- For
- Platform, SRE, and FinOps teams
- Price stated
- Free tier available cast.ai
- Starting price
- 0 cast.ai
- Free plan or trial
- Free tier available cast.ai
- Certifications
- APA®Official APA® Platform
- Customers named
- AkamaiYotpoBede GamingShareChatVoggtMyCoach ProRezolve AIUnstract
- Not stated on the pages read
- Integrations, hosting
What CAST AI's own pages state, read September 28, 2026: cast.ai, cast.ai/pricing, trust.cast.ai, cast.ai/solutions, cast.ai/case-studies. A claimed page can correct any of them.
Is this your product?
Claim this page
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when CAST AI's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as CAST AI, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for CAST AI by email, built from the raw record of the edition. It shows:
- where CAST AI is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name CAST AI, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.