Index › Products › WIQ · October 2026 Edition

1 category · Named, not ranked

WIQ

4Judge labels

0First choices

1Negative labels

4 / 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

2 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. WIQ was named 2 times 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.

Small business44 of 63

under the label threshold

Mid-market57 of 61

under the label threshold

Enterprise40 of 50

under the label threshold

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 WIQ 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	Since September 2026
Process mining	IT operations and endpoint	0%	57 of 61	50%	2	under 10 labels · led by Apromore at 19%

Movement

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

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Model	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	1	0	1
Mistral Small	0	1	1
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	0	0	0
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	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

Direct0 labelsNone

Paraphrase1 labelNone

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

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.

“It may not be ideal for organizations that rely heavily on traditional event-log-based process mining” Mistral Small · Process mining · negative prompt · soft negative

Named alongside

The products named in the same answers as WIQ, over the 4 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and WIQ was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Celonis Process Intelligence Platform3 of 40Not among the top eight

IBM Process Mining3 of 40Not among the top eight

SAP Signavio Process Intelligence3 of 40Not among the top eight

Microsoft Power Automate2 of 41Not among the top eight

Apromore2 of 40Not among the top eight

UiPath Process Mining2 of 40Not among the top eight

Bardeen1 of 40Not among the top eight

Fluxicon Disco1 of 40Not among the top eight

KYP.ai1 of 40Not among the top eight

Lucidchart1 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 WIQ. 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 WIQ and are not a share of its labels.

Domains cited

bardeen.ai4

ciopages.com2

g2.com2

guideflow.com2

kyp.ai2

skan.ai2

superkind.ai2

thectoclub.com2

articsledge.com1

aws.amazon.com1

No domain is on file for WIQ, so its own site is not marked.

Pages cited

bardeen.ai/best/process-mining-tools3

ciopages.com/buyer-guides/process-mining2

g2.com/categories/process-mining-tools2

guideflow.com/blog/process-mining-tools2

kyp.ai/process-mining-software-comparison2

superkind.ai/blog/ai-process-mining-tools2

thectoclub.com/tools/best-process-mining-software2

bardeen.ai/best/ibm-process-mining-alternatives1

Pages are listed as the models cited them.

Follow WIQ

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.

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 WIQ'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 WIQ, 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 WIQ by email, built from the raw record of the edition. It shows:

where WIQ 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 WIQ, 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.