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HR AI Index
Index › Products › Rain · September 2026 Edition
1 category · Ranked

Rain

69Judge labels
8First choices
5Negative labels
12 of 12Models named it
1Category
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.3, every buyer segment counted.
Best standing
12% in Earned wage access for mid-market buyers
Rank 3 of 59 in the mid-market standingaccepted challenger
4 of 12 models made it the first choice on the direct prompt; 4% of its 27 labels there were negative.
What the models named instead of Rain →
By buyer segmentStrongest at mid-market.
In earned wage access · 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 Rain 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
Earned wage accessCompensation and total rewards12%3 of 594%27accepted challenger

Movement

This is the first edition on this tier, so no move can be computed for Rain 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 Rain across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.510102
GPT-5.4 mini00101
Gemini 3.5 Flash01001
Perplexity Sonar02002
Grok 4.1 Fast03115
Mistral Small01203
DeepSeek V4 Flash11103
Llama 4 Maverick00202
Qwen 3.7 Flash01001
Kimi K220002
GLM 4.7 FlashX02103
MiniMax M2.511002

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
Direct20 labels4
Paraphrase9 labels2
Comparative19 labelsNone
Budget-constrained10 labels2
Scale-constrained5 labelsNone
Negative6 labels3not counted in share
First choiceAlternativeMentionNegative69 labels in all, every segment counted; 8 of the 11 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.

“Rain is the cleanest default pick: it's explicitly built for mid-market” DeepSeek V4 Flash · Earned wage access · direct prompt · first choice
“Rain stands out as the leading choice for mid-market companies.” Claude Haiku 4.5 · Earned wage access · direct prompt · first choice
“For a mid-market B2B company, Rain is particularly well-suited” MiniMax M2.5 · Earned wage access · direct prompt · first choice
“Rain is the most frequently recommended for this segment” Kimi K2 · Earned wage access · direct 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.

“Avoid providers like Branch or Rain if budget is ultra-tight” Grok 4.1 Fast · Earned wage access · budget prompt · hard negative

Named alongside

The products named in the same answers as Rain, over the 69 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Rain was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Branch29 of 690Not among the top eight
EarnIn24 of 691Not among the top eight
Chime Workplace22 of 691Not among the top eight
Immediate17 of 690Not among the top eight
Wagestream9 of 690Not 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 Rain. 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 65 of the 69 answers that named Rain and are not a share of its labels.

Domains cited

enterprise.chime.com55
g2.com39
hrtechsaas.com36
guideflow.com35
fintechspecs.com32
juicefin.com31
pickmysoft.com30
best-earned-wage-access-providers-usa.lovable.app29
us.fitgap.com29
tapcheck.com23

339 of the 339 domain citations in answers naming Rain came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Names read as Rain

What the judge wrote, as written, with how often. The vendor table decides that these count as Rain; a claim can dispute any of them.
Rain Technologies 1Rain Technologies, Inc. 1

Follow Rain

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 Rain'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 Rain, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

With a new claim: the vendor brief

A new claim receives the current edition's vendor brief for Rain by email, built from the raw record of the edition. It shows:

  • where Rain 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 Rain, 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.

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 rainapp.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.

Badges

Wins only: a badge exists where Rain is ranked in a category's top three this edition. Three sizes, one file each, light and dark; the code is under each.
ShowHide

Rain is among the products AI models recommend first in Earned wage access this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of September 2026.

Wide · 320 × 104 Website, beside other badges
Among AI models' top three in Earned wage access, September 2026 Edition, HR AI Recommendation Index
Show the code
<a href="https://hr-ai-index.com/rewards/earned-wage-access/"><img src="https://hr-ai-index.com/badges/2026-09/rain--earned-wage-access-wide.svg" alt="Among AI models' top three in Earned wage access, September 2026 Edition, HR AI Recommendation Index" width="320" height="104"></a>

Copy the code as it is. The link is part of the badge: it points at the Earned wage access standing, where the claim can be checked.

Square · 240 × 240 LinkedIn, slides
Among AI models' top three in Earned wage access, September 2026 Edition, HR AI Recommendation Index
Show the code
<a href="https://hr-ai-index.com/rewards/earned-wage-access/"><img src="https://hr-ai-index.com/badges/2026-09/rain--earned-wage-access-square.svg" alt="Among AI models' top three in Earned wage access, September 2026 Edition, HR AI Recommendation Index" width="240" height="240"></a>

Copy the code as it is. The link is part of the badge: it points at the Earned wage access standing, where the claim can be checked.

Compact · 200 × 56 Email signature, footer
Among AI models' top three in Earned wage access, September 2026 Edition, HR AI Recommendation Index
Show the code
<a href="https://hr-ai-index.com/rewards/earned-wage-access/"><img src="https://hr-ai-index.com/badges/2026-09/rain--earned-wage-access-compact.svg" alt="Among AI models' top three in Earned wage access, September 2026 Edition, HR AI Recommendation Index" width="200" height="56"></a>

Copy the code as it is. The link is part of the badge: it points at the Earned wage access standing, where the claim can be checked.

Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.