FP&A platforms: what twelve AI models recommend, and why, September 2026
Twelve AI models were asked for FP&A software six ways each, on behalf of a small, a mid-market and an enterprise B2B company: 216 answers, in which a judge labeled 52 products. Thirteen of them carry at least 10 labels and a first choice, and are ranked. This guide walks the top eight in the order the mid-market standing puts them, with what the models said for and against each, in their words. Vena leads at 15% of first choices, and the standing is contested.
At a glance
| Product | First-choice share | Negative rate | Labels | Leads for | Quadrant | |
|---|---|---|---|---|---|---|
| 1 |  Vena | 15% | 16% | 45 | Mid-market | accepted challenger |
| 2 |  Pigment | 15% | 16% | 38 | none | accepted challenger |
| 3 |  Clockwork | 15% | 0% | 13 | Small business | accepted challenger |
| 4 |  Planful | 10% | 11% | 36 | none | accepted challenger |
| 5 |  Fathom | 10% | 0% | 10 | none | accepted challenger |
| 6 |  Cube | 8% | 8% | 37 | none | accepted challenger |
| 7 |  Prophix | 6% | 12% | 17 | none | accepted challenger |
| 8 |  Datarails | 4% | 9% | 45 | none | accepted challenger |
The full standing, every product with 10 labels or more, is on the category page, with the products at zero and the ones warned against.
How a product gets on this list
The judge reads every answer
A product is on the record because a model named it in an answer and the judge labeled the naming: first choice, alternative, mention, caution or warning, each with the sentence it came from. 52 products were named for FP&A software this edition.
10 labels and a first choice
A product is ranked once it carries 10 labels in a segment and at least one first choice there. Below that it is named but not ranked, and it says so on its page. The vendor table that folds spellings into products is versioned; this page was scored under vv2026-09.2.
6 points
The same categories are asked again with nothing changed to measure how much an answer moves on its own. A change in share smaller than the floor is not reported as a change. The repeat, model by model.
The six questions
| Framing | The question |
|---|---|
| Direct | What is the best FP&A software for a mid-market B2B company? |
| Paraphrase | Which financial planning and analysis platform would you recommend to a mid-sized B2B company? |
| Comparative | What are the top FP&A platforms and how do they differ? |
| Budget-constrained | What is the best FP&A software for a company with a limited budget? |
| Scale-constrained | We are a 500 person company evaluating a FP&A software. What should we look at? |
| Negative | Which FP&A platforms should I avoid or be cautious about? |
1. Vena
Vena is #1 of 13 for the mid-market buyer at 15% of first choices, from 45 labels by 12 of 12 models; 16% of those labels were cautions or warnings. Two of twelve models named it first on the direct question. It led the paraphrase framing. By buyer: small business #7 of 7 at 2%; mid-market #1 of 13 at 15%; enterprise unranked.
6 of 12 models argued against it somewhere in their answers, 4 as a warning.
What the models said for it
“Go with Vena if your finance team wants to continue modeling in Excel but needs to eliminate spreadsheet errors and automate data ingestion from your ERP.” Gemini 3.5 Flash · paraphrase prompt · first choice
“Choose Vena or Datarails if you have a small to mid-sized finance team that wants to retain the comfort of using Excel” Qwen 3.7 Flash · comparative prompt · first choice
And against it
“"would rather eat a bullet than use it again." ... Anaplan and Vena are the two with the most consistent negative sentiment” DeepSeek V4 Flash · negative prompt · hard negative
“If data sovereignty and verified security audits are non-negotiable for you, this is a major red flag.” Qwen 3.7 Flash · negative prompt · hard negative
2. Pigment
Pigment is #2 of 13 for the mid-market buyer at 15% of first choices, from 38 labels by 12 of 12 models; 16% of those labels were cautions or warnings. Five of twelve models named it first on the direct question. It led the direct, scale-constrained framings. By buyer: small business unranked; mid-market #2 of 13 at 15%; enterprise #3 of 7 at 15%.
5 of 12 models argued against it somewhere in their answers, 2 as a warning.
What the models said for it
“Pigment | Tech-forward mid-market, driver‑based modeling, rapid scenario analysis | Deep driver‑based modeling ... enterprise‑grade power on short implementation timelines” GLM 4.7 FlashX · direct prompt · first choice
“Go with Pigment if you are forward-looking, have a modern finance team, and want a highly collaborative, visual, and agile scenario-planning tool.” Gemini 3.5 Flash · paraphrase prompt · first choice
And against it
“Avoid or be cautious about enterprise platforms (Anaplan, Workday Adaptive, Planful, Pigment)” Mistral Small · negative prompt · hard negative
“What to avoid when budget is tight ... overkill for a budget-conscious company” DeepSeek V4 Flash · budget prompt · hard negative
3. Clockwork
Clockwork is #3 of 13 for the mid-market buyer at 15% of first choices, from 13 labels by 10 of 12 models; 0% of those labels were cautions or warnings. Zero of twelve models named it first on the direct question. It led the budget-constrained framing. By buyer: small business #1 of 7 at 60%; mid-market #3 of 13 at 15%; enterprise unranked.
What the models said for it
“Clockwork is the best FP&A software for a limited budget due to its balance of features, ease of use, and transparent pricing” Mistral Small · budget prompt · first choice
“Clockwork is highlighted as a leading option that delivers forecasting, scenario planning, and an AI analyst from $149/month” Claude Haiku 4.5 · budget prompt · first choice
And against it
No negative label in this category carried a quote.
4. Planful
Planful is #4 of 13 for the mid-market buyer at 10% of first choices, from 36 labels by 11 of 12 models; 11% of those labels were cautions or warnings. Three of twelve models named it first on the direct question. By buyer: small business unranked; mid-market #4 of 13 at 10%; enterprise unranked.
What the models said for it
“Currently one of the leaders in this space. Excellent balance between a robust backend and a user-friendly frontend” Qwen 3.7 Flash · scale prompt · first choice
And against it
“Avoid or be cautious about enterprise platforms (Anaplan, Workday Adaptive, Planful, Pigment)” Mistral Small · negative prompt · hard negative
“What to avoid when budget is tight ... overkill for a budget-conscious company” DeepSeek V4 Flash · budget prompt · hard negative
5. Fathom
Fathom is #5 of 13 for the mid-market buyer at 10% of first choices, from 10 labels by 10 of 12 models; 0% of those labels were cautions or warnings. Zero of twelve models named it first on the direct question. By buyer: small business #2 of 7 at 13%; mid-market #5 of 13 at 10%; enterprise unranked.
What the models said for it
“Fathom (cheapest) or Clockwork (best overall for forecasting + AI) are your strongest picks” DeepSeek V4 Flash · budget prompt · first choice
“Fathom – Best Value for Money ... Fathom is the most cost-effective professional solution” Kimi K2 · budget prompt · first choice
And against it
No negative label in this category carried a quote.
6. Cube
Cube is #6 of 13 for the mid-market buyer at 8% of first choices, from 37 labels by 12 of 12 models; 8% of those labels were cautions or warnings. One of twelve models named it first on the direct question. By buyer: small business #3 of 7 at 9%; mid-market #6 of 13 at 8%; enterprise #7 of 7 at 2%.
What the models said for it
No positive label in this category carried a quote.
And against it
“Avoid pricier ones like Jirav (~$10K/year), Cube/Datarails ($1K+/month)” Grok 4.1 Fast · budget prompt · hard negative
“you quickly hit "guardrails"... still prone to broken formulas, version-control friction, and performance lag” Gemini 3.5 Flash · negative prompt · soft negative
7. Prophix
Prophix is #7 of 13 for the mid-market buyer at 6% of first choices, from 17 labels by 9 of 12 models; 12% of those labels were cautions or warnings. Zero of twelve models named it first on the direct question. By buyer: small business unranked; mid-market #7 of 13 at 6%; enterprise unranked.
What the models said for it
No positive label in this category carried a quote.
And against it
“Prophix (slow performance, limited functionality, steep learning curve)” GLM 4.7 FlashX · negative prompt · hard negative
“Be wary of mid-market tools (Centage, Datarails, Vena, Prophix) if you are a small business” Mistral Small · negative prompt · soft negative
8. Datarails
Datarails is #8 of 13 for the mid-market buyer at 4% of first choices, from 45 labels by 12 of 12 models; 9% of those labels were cautions or warnings. One of twelve models named it first on the direct question. By buyer: small business #5 of 7 at 2%; mid-market #8 of 13 at 4%; enterprise unranked.
4 of 12 models argued against it somewhere in their answers, 2 as a warning.
What the models said for it
“Datarails is often the strongest all-around pick — Excel-based, strong consolidation and variance analysis, faster to ROI” DeepSeek V4 Flash · direct prompt · first choice
“Start with Datarails or Vena if your team is comfortable in Excel and wants minimal disruption” Kimi K2 · paraphrase prompt · first choice
And against it
“The Pitfall (specifically Datarails): ... its pricing has risen significantly... the ROI may not add up.” Gemini 3.5 Flash · negative prompt · hard negative
“Avoid pricier ones like Jirav (~$10K/year), Cube/Datarails ($1K+/month)” Grok 4.1 Fast · budget prompt · hard negative
Where the models split
By framing, mid-market buyer
| Framing | Named first most often | Then |
|---|---|---|
| Direct | Pigment 5 of 12 models | Planful (3), Vena (2), Centage (1) |
| Paraphrase | Vena 5 of 12 models | Prophix (3), Cube (2), Abacum (1) |
| Comparative |  Anaplan 2 of 12 models | Datarails (1), Vena (1), Workday Adaptive Planning (1) |
| Budget-constrained | Clockwork 7 of 12 models | Fathom (5), Cube (1), Jirav (1) |
| Scale-constrained | Pigment 1 of 12 models | Planful (1) |
| Negative |  Aleph 1 of 12 models | Cube (1) |
By buyer
| Buyer | Leads | Then |
|---|---|---|
| Small business | Clockwork 60% | Fathom, Cube, Jirav |
| Mid-market | Vena 15% | Pigment, Clockwork, Planful |
| Enterprise | Anaplan 48% | Workday Adaptive Planning, Pigment, OneStream |
Across the categories asked twice, a leader's share moved 3 points at the median and the index calls a change only above 6 points. Every category by buyer.
Questions the record answers
Which FP&A software do AI models name first most often?
Vena, in 15% of first choices for a mid-market B2B company in the September 2026 Edition, from 45 labels. The standing is contested: the models did not settle on one product.
Does the answer change with the size of the company?
Small business: Clockwork at 60%. Mid-market: Vena at 15%. Enterprise: Anaplan at 48%. Each standing is computed within its segment and never pooled.
Which framing changes the answer?
The direct, paraphrase, budget and scale framings count toward share. The product named first differs by framing: direct Pigment; paraphrase Vena; comparative Anaplan; budget-constrained Clockwork; scale-constrained Pigment; negative Aleph. The table above has the counts.
How stable is one answer?
Asked again with nothing changed, the models moved their own first choice 68% of the time across the repeat sample; Across the categories asked twice, a leader's share moved 3 points at the median and the index calls a change only above 6 points.
Where do the answers come from?
Twelve of the twelve models return sources. Their 63 answers here cite 721 pages; the sites cited most are getaleph.com, centage.com, learn.g2.com. The category page lists them all.
Can a vendor pay to be on this list?
No. A product is on the record because a model named it. A vendor can claim its page, propose corrections to the vendor table and be told when its standing moves; it cannot change a label, a share or a rank, and the publisher's conflicts are disclosed on the method page.
The rest of the record on FP&A platforms
Every answer, every label and its evidence quote are in the free record. Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.