# ML platforms & training data tools used by Finance companies

usedby lists 46 Finance companies using 11 ML platforms & training data tools. The most used is H2O.ai: 21 of the 46 Finance companies on usedby, every proof level counted. These are counts of the companies usedby tracks, not a market share. Data as of 2026-10-25.

## Largest and best-proven users

Two labelled views of the same companies. Neither is a score.

### Largest companies

By employee range. Size known for 33 of 46.

| Company | Proof | Employees | Tools | Last check |
|---|---|---|---|---|
| [Commonwealth Bank](https://www.usedby.ai/companies/commonwealth-bank.md) | Confirmed | 10,001+ | H2O.ai | 2026-10-24 |
| [Capital One](https://www.usedby.ai/companies/capital-one.md) | Confirmed | 10,001+ | H2O.ai | 2026-10-24 |
| [PayPal](https://www.usedby.ai/companies/paypal.md) | Confirmed | 10,001+ | H2O.ai | 2026-10-24 |

### Strongest proof

Confirmed or declared: 13 of 46. This view filters what you read, never what is counted.

| Company | Proof | Employees | Tools | Last check |
|---|---|---|---|---|
| [CAPE Analytics](https://www.usedby.ai/companies/cape-analytics.md) | Confirmed | Unknown | Labelbox | 2026-10-25 |
| [IFFCO-Tokio](https://www.usedby.ai/companies/iffco-tokio.md) | Confirmed | Unknown | H2O.ai | 2026-10-24 |
| [Deserve](https://www.usedby.ai/companies/deserve.md) | Confirmed | Unknown | H2O.ai | 2026-10-24 |

## Ranking

Tools ranked by the companies of the 46 Finance companies on usedby that use them. Each company counts once per tool, at its strongest proof. Ties go to more confirmed, then declared, then observed companies.

| # | Tool | Companies | Confirmed | Declared | Observed | Job posts only | Last check |
|---|---|---|---|---|---|---|---|
| 1 | [H2O.ai](https://www.usedby.ai/tools/h2o-ai.md) | 21 | 6 | 0 | 15 | 0 | 2026-10-24 |
| 2 | [Dataiku](https://www.usedby.ai/tools/dataiku.md) | 6 | 0 | 0 | 6 | 0 | 2026-10-20 |
| 3 | [Domino Data Lab](https://www.usedby.ai/tools/domino-data-lab.md) | 5 | 2 | 0 | 3 | 0 | 2026-10-21 |
| 4 | [DataRobot](https://www.usedby.ai/tools/datarobot.md) | 5 | 0 | 0 | 5 | 0 | 2026-10-19 |
| 5 | [Weights & Biases](https://www.usedby.ai/tools/weights-and-biases.md) | 3 | 2 | 0 | 1 | 0 | 2026-10-24 |
| 6 | [Hugging Face](https://www.usedby.ai/tools/hugging-face.md) | 2 | 1 | 0 | 1 | 0 | 2026-10-19 |
| 7 | [Scale AI](https://www.usedby.ai/tools/scale-ai.md) | 2 | 0 | 0 | 2 | 0 | 2026-10-17 |
| 8 | [Labelbox](https://www.usedby.ai/tools/labelbox.md) | 1 | 1 | 0 | 0 | 0 | 2026-10-25 |
| 9 | [Snorkel AI](https://www.usedby.ai/tools/snorkel-ai.md) | 1 | 1 | 0 | 0 | 0 | 2026-10-05 |
| 10 | [Anyscale](https://www.usedby.ai/tools/anyscale.md) | 1 | 0 | 0 | 1 | 0 | 2026-10-20 |
| 11 | [Encord](https://www.usedby.ai/tools/encord.md) | 1 | 0 | 0 | 1 | 0 | 2026-10-25 |

## Customers per tool

Every line is a customer, at one of three proof levels: confirmed (a case study, a named quote, a press release, or the company's own public account of using the tool (its own site, or a post by one of its executives, VP or above)), observed (the vendor shows the company on its own pages) or signal (a job post shows the company's employees use the tool, the weakest proof). A line the company declared to usedby itself, or that it lists as a sub-processor on its own legal page, is marked declared. A signal is never a case study or a vendor listing. Strongest proof first. "Last check" is the later of the line's re-verification and its latest capture.

| Tool | Company | Proof | Source | Last check |
|---|---|---|---|---|
| H2O.ai | [Capital One](https://www.usedby.ai/companies/capital-one.md) | Confirmed | [h2o.ai](https://h2o.ai/case-studies/capital-one-h2o), captured 2026-10-17 | 2026-10-24 |
| H2O.ai | [PayPal](https://www.usedby.ai/companies/paypal.md) | Confirmed | [h2o.ai](https://h2o.ai/case-studies/paypal-h2o), captured 2026-10-17 | 2026-10-24 |
| H2O.ai | [Commonwealth Bank](https://www.usedby.ai/companies/commonwealth-bank.md) | Confirmed | [h2o.ai](https://h2o.ai/case-studies/cba-h2o), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [Acordo Certo](https://www.usedby.ai/companies/acordo-certo.md) | Confirmed | [h2o.ai](https://h2o.ai/case-studies/acordo-certo-h2o), captured 2026-10-17 | 2026-10-24 |
| H2O.ai | [Deserve](https://www.usedby.ai/companies/deserve.md) | Confirmed | [h2o.ai](https://h2o.ai/case-studies/deserve-h2o), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [IFFCO-Tokio](https://www.usedby.ai/companies/iffco-tokio.md) | Confirmed | [h2o.ai](https://h2o.ai/case-studies/iffco-tokio-h2o), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [Nationwide](https://www.usedby.ai/companies/nationwide.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [Akbank](https://www.usedby.ai/companies/akbank.md) | Observed | [h2o.ai](https://h2o.ai/), captured 2026-10-07 | 2026-10-07 |
| H2O.ai | [Citi](https://www.usedby.ai/companies/citi.md) | Observed | [h2o.ai](https://h2o.ai/), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [ING](https://www.usedby.ai/companies/ing.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [Jewelers Mutual](https://www.usedby.ai/companies/jewelers-mutual.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [MarketAxess](https://www.usedby.ai/companies/marketaxess.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [Progressive](https://www.usedby.ai/companies/progressive.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [State Farm](https://www.usedby.ai/companies/state-farm.md) | Observed | [h2o.ai](https://h2o.ai/), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [Synchrony](https://www.usedby.ai/companies/synchrony.md) | Observed | [h2o.ai](https://h2o.ai/case-studies/), captured 2026-10-07 | 2026-10-07 |
| H2O.ai | [Tokio Marine](https://www.usedby.ai/companies/tokio-marine.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [UMB](https://www.usedby.ai/companies/umb.md) | Observed | [h2o.ai](https://h2o.ai/), captured 2026-10-07 | 2026-10-07 |
| H2O.ai | [Underwrite.ai](https://www.usedby.ai/companies/underwrite-ai.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [Vision Banco](https://www.usedby.ai/companies/vision-banco.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [Wells Fargo](https://www.usedby.ai/companies/wells-fargo.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [Zurich Insurance](https://www.usedby.ai/companies/zurich-insurance.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 |
| Dataiku | [SoftBank](https://www.usedby.ai/companies/softbank.md) | Observed | [dataiku.com](https://www.dataiku.com/company/customers), captured 2026-10-20 | 2026-10-20 |
| Dataiku | [Aviva](https://www.usedby.ai/companies/aviva.md) | Observed | [dataiku.com](https://www.dataiku.com/company/customers), captured 2026-10-20 | 2026-10-20 |
| Dataiku | [Euronext](https://www.usedby.ai/companies/euronext.md) | Observed | [dataiku.com](https://www.dataiku.com/company/customers), captured 2026-10-20 | 2026-10-20 |
| Dataiku | [OHRA](https://www.usedby.ai/companies/ohra.md) | Observed | [dataiku.com](https://www.dataiku.com/), captured 2026-10-20 | 2026-10-20 |
| Dataiku | [Standard Chartered](https://www.usedby.ai/companies/standard-chartered.md) | Observed | [dataiku.com](https://www.dataiku.com/company/customers), captured 2026-10-20 | 2026-10-20 |
| Dataiku | [Zurich Insurance](https://www.usedby.ai/companies/zurich-insurance.md) | Observed | [dataiku.com](https://www.dataiku.com/company/customers), captured 2026-10-20 | 2026-10-20 |
| Domino Data Lab | [Moody's](https://www.usedby.ai/companies/moodys.md) | Confirmed | [domino.ai](https://domino.ai/customers/moodys), captured 2026-10-07 | 2026-10-21 |
| Domino Data Lab | [Allstate](https://www.usedby.ai/companies/allstate.md) | Confirmed | [domino.ai](https://domino.ai/customers/allstate), captured 2026-10-07 | 2026-10-21 |
| Domino Data Lab | [Fannie Mae](https://www.usedby.ai/companies/fannie-mae.md) | Observed | [domino.ai](https://domino.ai/customers), captured 2026-10-07 | 2026-10-21 |
| Domino Data Lab | [Helvetia](https://www.usedby.ai/companies/helvetia.md) | Observed | [domino.ai](https://domino.ai/customers), captured 2026-10-07 | 2026-10-21 |
| Domino Data Lab | [UBS](https://www.usedby.ai/companies/ubs.md) | Observed | [domino.ai](https://domino.ai/), captured 2026-10-21 | 2026-10-21 |
| DataRobot | [Morgan Stanley](https://www.usedby.ai/companies/morgan-stanley.md) | Observed | [datarobot.com](https://www.datarobot.com/why-datarobot/customers/), captured 2026-10-19 | 2026-10-19 |
| DataRobot | [Aon](https://www.usedby.ai/companies/aon.md) | Observed | [datarobot.com](https://www.datarobot.com/why-datarobot/customers/), captured 2026-10-19 | 2026-10-19 |
| DataRobot | [CNO Financial Group](https://www.usedby.ai/companies/cno-financial-group.md) | Observed | [datarobot.com](https://www.datarobot.com/why-datarobot/customers/), captured 2026-10-19 | 2026-10-19 |
| DataRobot | [Pacific Life](https://www.usedby.ai/companies/pacific-life.md) | Observed | [datarobot.com](https://www.datarobot.com/why-datarobot/customers/), captured 2026-10-19 | 2026-10-19 |
| DataRobot | [Razorpay](https://www.usedby.ai/companies/razorpay.md) | Observed | [datarobot.com](https://www.datarobot.com/why-datarobot/customers/), captured 2026-10-19 | 2026-10-19 |
| Weights & Biases | [Square](https://www.usedby.ai/companies/square.md) | Confirmed | [wandb.ai](https://wandb.ai/site/customers/square-brings-conversational-ai-to-businesses-of-all-sizes-with-wb/), captured 2026-10-08 | 2026-10-24 |
| Weights & Biases | [M-KOPA](https://www.usedby.ai/companies/m-kopa.md) | Confirmed | [wandb.ai](https://wandb.ai/site/customers/m-kopa-transforms-their-model-management-workflow-with-wb/), captured 2026-10-08 | 2026-10-24 |
| Weights & Biases | [RBC](https://www.usedby.ai/companies/rbc.md) | Observed | [wandb.ai](https://wandb.ai/site/customers/), captured 2026-10-24 | 2026-10-24 |
| Hugging Face | [Banque des Territoires](https://www.usedby.ai/companies/banque-des-territoires.md) | Confirmed | [huggingface.co](https://huggingface.co/blog/sovereign-data-solution-case-study), captured 2026-10-19 | 2026-10-19 |
| Hugging Face | [Liquid](https://www.usedby.ai/companies/liquid.md) | Observed | [huggingface.co](https://huggingface.co/enterprise), captured 2026-10-19 | 2026-10-19 |
| Scale AI | [Morgan Stanley](https://www.usedby.ai/companies/morgan-stanley.md) | Observed | [scale.com](https://scale.com/), captured 2026-10-17 | 2026-10-17 |
| Scale AI | [Rocket Companies](https://www.usedby.ai/companies/rocket-companies.md) | Observed | [scale.com](https://scale.com/), captured 2026-10-17 | 2026-10-17 |
| Labelbox | [CAPE Analytics](https://www.usedby.ai/companies/cape-analytics.md) | Confirmed | [labelbox.com](https://labelbox.com/customers/cape-analytics/), captured 2026-10-07 | 2026-10-25 |
| Snorkel AI | [Experian](https://www.usedby.ai/companies/experian.md) | Confirmed | [snorkel.ai](https://snorkel.ai/customer-story/how-experian-improved-agent-response-times-under-3-seconds-with-snorkel/), captured 2026-10-05 | 2026-10-05 |
| Anyscale | [Coinbase](https://www.usedby.ai/companies/coinbase.md) | Observed | [anyscale.com](https://www.anyscale.com/customers), captured 2026-10-20 | 2026-10-20 |
| Encord | [Axa](https://www.usedby.ai/companies/axa.md) | Observed | [encord.com](https://encord.com/pricing/), captured 2026-10-25 | 2026-10-25 |

## Method

Public customer lines of active ML platforms & training data tools at companies classified in Finance. No software vendor had to be left out. Company mix by strongest proof: 13 confirmed, 0 declared, 33 observed and 0 signals.

## Questions

### Which ML platforms & training data tools do Finance companies use most?

H2O.ai leads: 21 of the 46 Finance companies on usedby that use ML platforms & training data tools use it. Next: Dataiku (6), Domino Data Lab (5), DataRobot (5), and Weights & Biases (3).

### How many Finance companies use ML platforms & training data tools?

46 Finance companies on usedby use at least one of 11 ML platforms & training data tools. It counts the companies usedby tracks.

### What proof backs these lines?

Of the 46 companies, each counted at its strongest proof: 13 confirmed, 0 declared, 33 observed and 0 known from a job post.

### How does usedby build this ranking?

usedby counts each Finance company once per tool, from public proof: case studies, press releases, the company's own site or its declaration to usedby, vendor customer pages and job posts. Every line shows its proof and the date usedby last checked it.

ML platforms & training data by industry within Finance: [Insurance & InsurTech](https://www.usedby.ai/companies/industry/insurance-insurtech/ml-ops-training.md) (16) · [Banking & Mortgages](https://www.usedby.ai/companies/industry/banking-mortgages/ml-ops-training.md) (15)

Industry page: https://www.usedby.ai/companies/industry/finance.md · Category page: https://www.usedby.ai/tools/category/ml-ops-training.md

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Source: https://www.usedby.ai/companies/industry/finance/ml-ops-training · How we check: https://www.usedby.ai/methodology