IT AI Index
Index Vendors › Kandji · September 2026 Edition
1 category · Ranked

Kandji

34Judge labels
0First choices
1Negative labels
12 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
0% in UEM for small business buyers
Rank 15 of 52 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 0% of its 9 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In uem · 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 Kandji 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
Unified endpoint managementIT operations and endpoint0%15 of 520%9under 10 labels · led by Microsoft Intune at 43%

Movement

This is the first edition on this tier, so no move can be computed for Kandji 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 Kandji 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 mini02002
Gemini 3.5 Flash02002
Perplexity Sonar00000
Grok 4.1 Fast00000
Mistral Small00101
DeepSeek V4 Flash01102
Llama 4 Maverick00000
Qwen 3.7 Flash01001
Kimi K201001
GLM 4.7 FlashX00000
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
Direct4 labelsNone
Paraphrase9 labelsNone
Comparative8 labelsNone
Budget-constrained1 labelNone
Scale-constrained8 labelsNone
Negative4 labelsNone
First choiceAlternativeMentionNegative34 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.

“consider Jamf or Kandji ... usually less budget-friendly for a mixed-device environment” GPT-5.4 mini · UEM · budget prompt · alternative
“A newer, modern player focused on simplicity and automation... Excellent UX.” Qwen 3.7 Flash · UEM · scale prompt · alternative
“Apple-native UEMs like Jamf or Kandji for managing macOS and iOS fleets” Gemini 3.5 Flash · UEM · negative prompt · alternative
“Apple-first fleet \u2192 Consider Jamf or Kandji” DeepSeek V4 Flash · UEM · paraphrase 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 Kandji, over the 34 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Kandji was named but was not.
ProductSame answerTook the first choice insteadHead to head
Microsoft Intune30 of 3420Not in the top three
Jamf27 of 340Not in the top three
NinjaOne16 of 340Not in the top three
Omnissa Workspace ONE16 of 340Not in the top three
ManageEngine Endpoint Central15 of 340Not in the top three
Hexnode UEM13 of 340Not in the top three
JumpCloud10 of 341Not in the top three
Miradore9 of 344Not in the top three
Ivanti6 of 340Not in the top three
Automox5 of 341Not 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 Kandji. 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 22 of the 34 answers that named Kandji and are not a share of its labels.

Domains cited

cyberpress.org10
gbhackers.com10
cybersecuritynews.com9
syncrosecure.com8
expertinsights.com7
miradore.com7
g2.com6
getprimo.com5
microsoft.com5
ninjaone.com5

Seventy-two of the seventy-two domain citations in answers naming Kandji 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 Kandji'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 Kandji, 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 kandji.io 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.