IT AI Index

Index › Products › WinPure Clean & Match · October 2026 Edition

1 category · Named, not ranked

WinPure Clean & Match

9Judge labels

2First choices

0Negative labels

5 / 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. WinPure Clean & Match was named 2 times in Data observability, where Metaplane led with 31%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business9 of 101

under the label threshold

Mid-market37 of 110

under the label threshold

Enterprisenot named

No model named it for this buyer.

In data observability · 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 WinPure Clean & Match 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
Data quality and observability	Data platform	0%	37 of 110	0%	2	under 10 labels · led by Metaplane at 31%

Movement

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

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Model	Alternative	Mention	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	1	1
Grok 4.1 Fast	0	0	0
Mistral Small	1	0	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

Paraphrase7 labels2

Comparative0 labelsNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative2 labelsNone

First choiceAlternativeMentionNegative9 labels in all, every segment counted; 2 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.

“Suitable for small to mid-size businesses that need periodic cleanup of customer databases” Mistral Small · Data observability · 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 WinPure Clean & Match, over the 9 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and WinPure Clean & Match was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Cleanlist3 of 93Not among the top eight

Insycle2 of 92Not among the top eight

Atlan2 of 91Not among the top eight

Great Expectations2 of 91Not among the top eight

Ataccama ONE2 of 90Not among the top eight

Bigeye2 of 90Not among the top eight

DQE One2 of 90Not among the top eight

Data82 of 90Not among the top eight

Monte Carlo2 of 90Not among the top eight

dbt tests2 of 90Not 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 WinPure Clean & Match. 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 9 of the 9 answers that named WinPure Clean & Match and are not a share of its labels.

Domains cited

g2.com8

integrate.io7

cleanlist.ai6

pipeline.zoominfo.com5

prospeo.io5

atlan.com4

hevodata.com4

cognism.com3

airbyte.com2

capterra.com2

Forty-six of the forty-six domain citations in answers naming WinPure Clean & Match came from somebody else's page.

Pages cited

integrate.io/blog/top-10-data-cleansing-tools7

cleanlist.ai/blog/2026-03-27-data-quality-tools5

g2.com/categories/data-quality5

g2.com/categories/data-quality/small-business5

pipeline.zoominfo.com/operations/data-cleansing-software5

prospeo.io/s/data-quality-tools5

hevodata.com/learn/best-data-cleaning-services4

atlan.com/know/data-quality/top-tools3

Pages are listed as the models cited them.

Search and answers

winpure.com is not in Google's top ten for any of the category's searches. In the answers, WinPure Clean & Match takes 0% of first choices and Metaplane takes 31%.

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In search

Google, US estimates

Position for “data observability platform”

–

not in the top ten

Position for “best data observability platform”

–

not in the top ten

Searches for its name, Google: not counted (“winpure clean & match”)
AI search demand for its name, est.: 0 a month
Organic visits to its site: about 3,248 a month
Searches its site ranks for: 839 · 17 in the top three
Sites linking to it: 1,260
Paid Google search: No ads found in the estimate; that does not mean it runs none

Ads on GoogleDetailLess

10 ads · 8 text, 2 image · 6 shown in the last 30 days

First shown November 2023, as WinPure Ltd, verified. Ads started 2025-10 to 2026-09: 5 in the year, 5 before.

On Google's pages: 1 2 3 4

In answers

This edition

Share of first choices

rank 37 of 110 in data observability

Segment leader

31%

Metaplane

First choices: 2 across its categories
Named in: 9 answers
Its own site cited: in 9 of the answers that named it

Search figures are US estimates from DataForSEO, read September 28, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.

What it publishes

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Addresses on winpure.com

407

subdomains included

Content

132

counted in the table below

Documentation

Product · Integration

0 · 0

Kind	Pages	Last 90 days	Latest
Blog	82	15	2026-09-11
Case study	24	0	2024-11-15
Glossary or explainer	9	undated
Comparison	7	3	2026-09-28
Webinar or virtual event	4	0	2026-03-04
Report or ebook	2	0	2025-01-30
Template or tool	2	0	2025-12-17
News or press	2	0	2024-11-12

Most recent

2026-09-28Identity resolution vs entity resolution what is the difference comparison
2026-09-21Deterministic vs probabilistic matching comparison
2026-09-13Build vs buy data matching software comparison
2026-09-11Record linkage how to match records across multiple source systems without a shared identifier blog
2026-09-07Data quality framework stages tools and how to build one blog
2026-09-07Data quality software deployment blog

How it is countedHide how it is counted

Every page winpure.com 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 September 29, 2026.

Names read as WinPure Clean & Match

What the judge wrote, as written, with how often. The vendor table decides that these count as WinPure Clean & Match; a claim can dispute any of them.

WinPure 1

Follow WinPure Clean & Match

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

WinPure Clean & Match is its own company.

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In its own words

Stated by the vendor, not checked

Positioning: Trusted Enterprise Data Quality Solution Provider
winpure.com
For: SME businesses
winpure.com
Price stated: See Plans & Pricing winpure.com
Starting price: 185 winpure.com/plans-pricing
Free plan or trial: Free 30-days trial winpure.com
Hosting: AzureAWS
Customers named: RES QLuton Borough CouncilCenturaHDL CompaniesFortune 500 OrganisationsGovernment and public sector organisationsHealthcareFinancial Services
Not stated on the pages read: Integrations, certifications

What WinPure Clean & Match's own pages state, read September 28, 2026: winpure.com, winpure.com/plans-pricing, winpure.com/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 WinPure Clean & Match'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 WinPure Clean & Match, 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 WinPure Clean & Match by email, built from the raw record of the edition. It shows:

where WinPure Clean & Match 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 WinPure Clean & Match, 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.