HR AI Index
Index Vendors › OpenSesame · September 2026 Edition
2 categories · Ranked

OpenSesame

31Judge labels
0First choices
6Negative labels
10 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.1, every buyer segment counted.
Best standing
0% in Online course libraries for enterprise buyers
Rank 42 of 73 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 29% of its 7 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In online course libraries · 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 OpenSesame 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
Online course librariesLearning and development0%42 of 7329%7under 10 labels · led by Udemy Business at 32%
Skills intelligencePerformance and talent management0%29 of 1620%4under 10 labels · led by TalentGuard at 19%

Movement

This is the first edition on this tier, so no move can be computed for OpenSesame 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 OpenSesame across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501001
GPT-5.4 mini00000
Gemini 3.5 Flash01001
Perplexity Sonar00213
Grok 4.1 Fast00112
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200101
GLM 4.7 FlashX11002
MiniMax M2.500101

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
Paraphrase3 labelsNone
Comparative17 labels1not counted in share
Budget-constrained1 labelNone
Scale-constrained0 labelsNone
Negative6 labels1not counted in share
First choiceAlternativeMentionNegative31 labels in all, every segment counted; 0 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.

“Compliance & skills mapping | OpenSesame, ClearCompany” GLM 4.7 FlashX · Skills intelligence · comparative prompt · first choice
“OpenSesame (For HR-led LMS Integration): ... you want to choose from a vast, diverse marketplace of compliance, safety, and business courses” Gemini 3.5 Flash · Online course libraries · paraphrase prompt · alternative
“Pay-per-course flexibility | 35,000+ courses ... Excellent if you want to cherry-pick topics” GLM 4.7 FlashX · Online course libraries · paraphrase prompt · alternative
“OpenSesame is best for workforce upskilling, compliance, and skills mapping” Claude Haiku 4.5 · Skills intelligence · 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.

“OpenSesame: Vast library (20k+ courses), but users report ineffective/engaging courses, inadequate reporting, limited technical topics, language gaps, slow site, and SCORM/lab issues” Grok 4.1 Fast · Online course libraries · negative prompt · hard negative
“aggregator-style libraries can prioritize quantity over curation” Perplexity Sonar · Online course libraries · negative prompt · soft negative

Named alongside

The products named in the same answers as OpenSesame, over the 31 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and OpenSesame was named but was not.
ProductSame answerTook the first choice insteadHead to head
LinkedIn Learning26 of 315Not in the top three
Udemy Business25 of 314Not in the top three
Skillsoft Percipio17 of 311Not in the top three
Coursera for Business16 of 312Not in the top three
Go116 of 311Not in the top three
Pluralsight12 of 311Not in the top three
TalentLMS8 of 311Not in the top three
BizLibrary7 of 310Not in the top three
Coursera6 of 310Not in the top three
edX6 of 310Not 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 OpenSesame. 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 27 of the 31 answers that named OpenSesame and are not a share of its labels.

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 OpenSesame'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 OpenSesame, 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 opensesame.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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