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IT AI Index
Index › Products › Skan · October 2026 Edition
1 category · Named, not ranked

Skan

4Judge labels
0First choices
3Negative labels
3 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Standing
1 label, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. Skan was named 1 time in Process mining, where Apromore led with 19%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In process mining · 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 Skan 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 rateLabelsQuadrantSince September 2026
Process miningIT operations and endpoint0%55 of 610%1under 10 labels · led by Apromore at 19%

Movement

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

By model

How each model treated Skan across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.1 Fast00101
Mistral Small00000
DeepSeek V4 Flash00000
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200000
GLM 4.7 FlashX00000
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B00000

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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative0 labelsNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative3 labelsNone
First choiceAlternativeMentionNegative4 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.

No positive label carried a quote.

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 Skan, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Skan was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Celonis Process Intelligence Platform3 of 41Not among the top eight
Microsoft Power Automate3 of 41Not among the top eight
Apromore3 of 40Not among the top eight
ProM2 of 40Not among the top eight
SAP Signavio Process Intelligence2 of 40Not among the top eight
UiPath Process Mining2 of 40Not among the top eight
ARIS Process Mining1 of 40Not among the top eight
Fluxicon Disco1 of 40Not among the top eight
IBM Process Mining1 of 40Not among the top eight
KYP.ai1 of 40Not among the top eight
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 Skan. 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 4 of the 4 answers that named Skan and are not a share of its labels.

Domains cited

bardeen.ai4
kyp.ai3
signavio.com3
ciopages.com2
g2.com2
guideflow.com2
learn.g2.com2
link.springer.com2
rfp.wiki2
scitepress.org2

Twenty-four of the twenty-four domain citations in answers naming Skan came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

What it publishes

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Addresses on skan.ai
557
subdomains included
Content
385
counted in the table below
Documentation
0
Product · Integration
12 · 0
KindPagesLast 90 days2025-11 to 2026-10LatestCategories named
Blog190162026-10-01Process mining, RPA
Case study5412026-07-17Process mining
Podcast or video4702026-02-03Process mining
Report or ebook4122026-07-17RPA, Process mining
Conference or event3722026-09-09
Glossary or explainer822026-10-05Process mining
Webinar or virtual event612026-08-20
Comparison202025-12-09Process mining
How it is countedHide how it is counted

Every page skan.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 October 5, 2026.

Follow Skan

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

Skan is its own company.
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In its own words

Stated by the vendor, not checked
Positioning
Skan AI helps teams and AI agents in regulated industries run complex workflows at scale.
For
teams and AI agents in regulated industries
Price stated
Get your customized Skan AI quote skan.ai/pricing
Certifications
ISO/IEC 27001:2022ISO/IEC 42001:2023SOC 2 Type 2TRUSTeCleared by Fortune 50 infosec review
Customers named
Allianz
Not stated on the pages read
Starting price, free plan or trial, integrations, hosting

What Skan's own pages state, read October 6, 2026: skan.ai, skan.ai/pricing, trust.skan.ai, skan.ai/use-cases/engineering, skan.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 Skan'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 Skan, 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 Skan by email, built from the raw record of the edition. It shows:

  • where Skan 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 Skan, 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.

A verification link goes to your work email; an address at skan.ai is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.