HR AI Index

Index › Vendors › Kahuna · September 2026 Edition

1 category · Named, not ranked

Kahuna

11Judge labels

0First choices

0Negative labels

8 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

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Kahuna was named 3 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.

Small business26 of 153

under the label threshold

Mid-market31 of 162

under the label threshold

Enterprise30 of 79

under the label threshold

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 Kahuna 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
Skills intelligence	Performance and talent management	0%	31 of 162	0%	3	under 10 labels · led by TalentGuard at 19%

Movement

This is the first edition on this tier, so no move can be computed for Kahuna 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 Kahuna across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	1	1
Perplexity Sonar	1	1
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	0	0
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	1	1
GLM 4.7 FlashX	0	0
MiniMax M2.5	0	0

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

Direct2 labelsNone

Paraphrase0 labelsNone

Comparative5 labels1not counted in share

Budget-constrained2 labelsNone

Scale-constrained1 labelNone

Negative1 labelNone

First choiceAlternativeMentionNegative11 labels in all, every segment counted; 0 of the 1 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.

“look at skills intelligence platforms like Degreed, Kahuna, or TechWolf” Perplexity Sonar · Skills intelligence · comparative prompt · alternative

“The Simple, Visual Mapping Platforms (e.g., MuchSkills, Kahuna)” Gemini 3.5 Flash · Skills intelligence · scale prompt · alternative

“AG5 or Kahuna - Best for regulated/frontline work” Kimi K2 · Skills intelligence · budget 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.

No model argued against it.

Named alongside

The products named in the same answers as Kahuna, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Kahuna was named but was not.

ProductSame answerTook the first choice insteadHead to head

Skills Base8 of 117Not in the top three

AG58 of 111Not in the top three

365Talents6 of 110Not in the top three

iMocha6 of 110Not in the top three

Eightfold AI5 of 110Not in the top three

Pluralsight Skills5 of 110Not in the top three

Fuel504 of 110Not in the top three

SkillPanel4 of 110Not in the top three

SkillsDB4 of 110Not in the top three

agyleOS4 of 110Not 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 Kahuna. 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 10 of the 11 answers that named Kahuna and are not a share of its labels.

Domains cited

firsthr.app7

peoplemanagingpeople.com7

fuel50.com6

cloudassess.com5

clickup.com4

guideflow.com4

hrtechsaas.com4

skillsdb.com4

f6s.com3

g2.com3

Forty-seven of the forty-seven domain citations in answers naming Kahuna came from somebody else's page.

Pages cited

firsthr.app/compare/training/skills-management-software7

peoplemanagingpeople.com/tools/best-skills-management-software6

cloudassess.com/blog/best-skills-intelligence-platforms5

clickup.com/blog/skills-management-software4

fuel50.com/blog/skills-intelligence-platforms3

goodhabitz.com/resources/blog/best-online-learning-platforms-for-professional-team-develop3

guideflow.com/blog/skills-management-software3

metaview.ai/resources/blog/talent-intelligence-platforms3

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 Kahuna'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 Kahuna, 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 kahuna.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.