HR AI Index
Index Vendors › Cloud Assess · September 2026 Edition
1 category · Named, not ranked

Cloud Assess

10Judge labels
2First choices
1Negative labels
9 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Standing
4 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Cloud Assess was named 4 times in Skills intelligence, where TalentGuard led with 19%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In skills intelligence · 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 Cloud Assess 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.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Skills intelligencePerformance and talent management2%12 of 16225%4under 10 labels · led by TalentGuard at 19%

Movement

This is the first edition on this tier, so no move can be computed for Cloud Assess yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Cloud Assess across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash01001
Perplexity Sonar10001
Grok 4.1 Fast00000
Mistral Small01001
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00011
MiniMax M2.500000

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
Direct1 labelNone
Paraphrase0 labelsNone
Comparative1 labelNone
Budget-constrained5 labels1
Scale-constrained3 labels1
Negative0 labelsNone
First choiceAlternativeMentionNegative10 labels in all, every segment counted; 2 of the 2 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.

“If you want the cheapest viable option, I'd start with Cloud Assess” Perplexity Sonar · Skills intelligence · budget prompt · first choice
“If you need a simple, structured approach, Skills Base or Cloud Assess may be best.” Mistral Small · Skills intelligence · budget prompt · alternative
“The Assessment-Led Platforms (e.g., iMocha, Cloud Assess)” Gemini 3.5 Flash · Skills intelligence · scale 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.

“cost may be higher—use only if compliance is a primary concern.” GLM 4.7 FlashX · Skills intelligence · budget prompt · soft negative

Named alongside

The products named in the same answers as Cloud Assess, over the 10 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Cloud Assess was named but was not.
ProductSame answerTook the first choice insteadHead to head
Skills Base5 of 104Not in the top three
MuchSkills5 of 102Not in the top three
Eightfold AI3 of 101Not in the top three
Gloat3 of 101Not in the top three
AG53 of 100Not in the top three
365Talents2 of 100Not in the top three
Beamery2 of 100Not in the top three
Kahuna2 of 100Not in the top three
TestGorilla2 of 100Not in the top three
agyleOS2 of 100Not in the top three
A head-to-head page exists where both products are in a category's top three. 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 Cloud Assess. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 9 of the 10 answers that named Cloud Assess and are not a share of its labels.

Domains cited

cloudassess.comYour site8
fuel50.com7
f6s.com4
firsthr.app4
learn.g2.com4
metaview.ai4
skima.ai4
365talents.com3
aihr.com3
hrtechsaas.com3

Thirty-six of the forty-four domain citations in answers naming Cloud Assess came from somebody else's page.

Pages cited

Pages are listed as the models cited 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 Cloud Assess'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 Cloud Assess, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at cloudassess.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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