Finance AI Index

Index › Vendors › Transformance ClearMatch · September 2026 Edition

Transformance · 1 category · Named, not ranked

Transformance ClearMatch

14Judge labels

2First choices

0Negative labels

7 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.

Standing

4 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Transformance ClearMatch was named 4 times in Cash application, where HighRadius led with 16%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business48 of 82

under the label threshold

Mid-market29 of 83

under the label threshold

Enterprise4 of 61

under the label threshold

In cash application · 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 Transformance ClearMatch 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
Cash application	Receivables and billing	0%	29 of 83	0%	4	under 10 labels · led by HighRadius at 16%

Movement

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

Model	First choice	Mention	Labels
Claude Haiku 4.5	1	0	1
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	1	1
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	1	1
Mistral Small	0	0	0
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	1	1
MiniMax M2.5	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

Direct1 labelNone

Paraphrase1 label1

Comparative6 labels1not counted in share

Budget-constrained4 labels1

Scale-constrained2 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative14 labels in all, every segment counted; 2 of the 3 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.

“Transformance ClearMatch uses vision language models... improves match rates from around 85% to 95%+ within 90 days, with 4 to 8 week deployment versus 3 to 6 months for incumbents” Claude Haiku 4.5 · Cash application · comparative prompt · first choice

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 Transformance ClearMatch, over the 14 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Transformance ClearMatch was named but was not.

ProductSame answerTook the first choice insteadHead to head

HighRadius14 of 146Not in the top three

Esker9 of 140Not in the top three

Billtrust8 of 140Not in the top three

Versapay8 of 140Not in the top three

BlackLine Cash Application7 of 141Not in the top three

Serrala7 of 140Not in the top three

Stuut4 of 141Not in the top three

Cashbook4 of 140Not in the top three

Lunos3 of 140Not in the top three

OpenEnvoy3 of 140Not 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 Transformance ClearMatch. 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 13 of the 14 answers that named Transformance ClearMatch and are not a share of its labels.

Domains cited

cashbook.com12

transformance.aiYour site12

upflow.io12

highradius.com9

lunos.ai8

rex.inc8

worldmetrics.org8

bluecopa.com6

cashflowpick.com5

emagia.com5

Seventy-three of the eighty-five domain citations in answers naming Transformance ClearMatch came from somebody else's page.

Pages cited

cashbook.com/best-cash-application-tools-2026-official-guide12

upflow.io/software/best-cash-application-software12

highradius.com/resources/Blog/best-cash-application-automation-tools9

lunos.ai/blog/best-cash-application-software8

rex.inc/resources/comparisons/best-cash-application-software8

transformance.ai/blog-posts/auto-cash-application-software-6-best-tools-in-20268

worldmetrics.org/best/cash-application-software7

bluecopa.com/blog/cash-application-softwares6

Pages are listed as the models cited them.

Names read as Transformance ClearMatch

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

Transformance 3

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 Transformance ClearMatch'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 Transformance ClearMatch, 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 transformance.ai 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.