# ML platforms & training data tools used by Healthcare companies

usedby lists 35 Healthcare companies using 10 ML platforms & training data tools. The most used is Domino Data Lab: 9 of the 35 Healthcare 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 26 of 35.

| Company | Proof | Employees | Tools | Last check |
|---|---|---|---|---|
| [Genentech](https://www.usedby.ai/companies/genentech.md) | Confirmed | 10,001+ | Labelbox | 2026-10-25 |
| [Intuitive](https://www.usedby.ai/companies/intuitive.md) | Confirmed | 10,001+ | Labelbox | 2026-10-25 |
| [HCA Healthcare](https://www.usedby.ai/companies/hca-healthcare.md) | Confirmed | 10,001+ | H2O.ai | 2026-10-24 |

### Strongest proof

Confirmed or declared: 18 of 35. This view filters what you read, never what is counted.

| Company | Proof | Employees | Tools | Last check |
|---|---|---|---|---|
| [Voxel](https://www.usedby.ai/companies/voxel.md) | Confirmed | 51–200 | Encord | 2026-10-25 |
| [Advent Health Partners](https://www.usedby.ai/companies/advent-health-partners.md) | Confirmed | Unknown | Labelbox | 2026-10-25 |
| [Genentech](https://www.usedby.ai/companies/genentech.md) | Confirmed | 10,001+ | Labelbox | 2026-10-25 |

## Ranking

Tools ranked by the companies of the 35 Healthcare 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 | [Domino Data Lab](https://www.usedby.ai/tools/domino-data-lab.md) | 9 | 4 | 0 | 5 | 0 | 2026-10-21 |
| 2 | [Labelbox](https://www.usedby.ai/tools/labelbox.md) | 5 | 4 | 0 | 1 | 0 | 2026-10-25 |
| 3 | [H2O.ai](https://www.usedby.ai/tools/h2o-ai.md) | 5 | 3 | 0 | 2 | 0 | 2026-10-24 |
| 4 | [Dataiku](https://www.usedby.ai/tools/dataiku.md) | 5 | 0 | 0 | 5 | 0 | 2026-10-20 |
| 5 | [Weights & Biases](https://www.usedby.ai/tools/weights-and-biases.md) | 4 | 2 | 0 | 2 | 0 | 2026-10-24 |
| 6 | [Anyscale](https://www.usedby.ai/tools/anyscale.md) | 4 | 2 | 0 | 1 | 1 | 2026-10-20 |
| 7 | [DataRobot](https://www.usedby.ai/tools/datarobot.md) | 4 | 1 | 0 | 3 | 0 | 2026-10-19 |
| 8 | [Encord](https://www.usedby.ai/tools/encord.md) | 2 | 1 | 0 | 1 | 0 | 2026-10-25 |
| 9 | [Hugging Face](https://www.usedby.ai/tools/hugging-face.md) | 1 | 1 | 0 | 0 | 0 | 2026-10-19 |
| 10 | [Scale AI](https://www.usedby.ai/tools/scale-ai.md) | 1 | 0 | 0 | 1 | 0 | 2026-10-17 |

## 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 |
|---|---|---|---|---|
| Domino Data Lab | [Bayer](https://www.usedby.ai/companies/bayer.md) | Confirmed | [domino.ai](https://domino.ai/customers/bayer), captured 2026-10-07 | 2026-10-21 |
| Domino Data Lab | [Merck](https://www.usedby.ai/companies/merck.md) | Confirmed | [domino.ai](https://domino.ai/resources/videos/merck-standardized-sce), captured 2026-10-09 | 2026-10-21 |
| Domino Data Lab | [GSK](https://www.usedby.ai/companies/gsk.md) | Confirmed | [domino.ai](https://domino.ai/customers/gsk), captured 2026-10-07 | 2026-10-21 |
| Domino Data Lab | [Novartis](https://www.usedby.ai/companies/novartis.md) | Confirmed | [domino.ai](https://domino.ai/resources/videos/building-a-unified-sce-at-scale), captured 2026-10-09 | 2026-10-21 |
| Domino Data Lab | [AstraZeneca](https://www.usedby.ai/companies/astrazeneca.md) | Observed | [domino.ai](https://domino.ai/), captured 2026-10-21 | 2026-10-21 |
| Domino Data Lab | [Moderna](https://www.usedby.ai/companies/moderna.md) | Observed | [domino.ai](https://domino.ai/), captured 2026-10-21 | 2026-10-21 |
| Domino Data Lab | [Bristol Myers Squibb](https://www.usedby.ai/companies/bristol-myers-squibb.md) | Observed | [domino.ai](https://domino.ai/), captured 2026-10-21 | 2026-10-21 |
| Domino Data Lab | [Eli Lilly](https://www.usedby.ai/companies/eli-lilly.md) | Observed | [domino.ai](https://domino.ai/), captured 2026-10-21 | 2026-10-21 |
| Domino Data Lab | [UCB](https://www.usedby.ai/companies/ucb.md) | Observed | [domino.ai](https://domino.ai/customers), captured 2026-10-07 | 2026-10-21 |
| Labelbox | [Advent Health Partners](https://www.usedby.ai/companies/advent-health-partners.md) | Confirmed | [labelbox.com](https://labelbox.com/customers/advent-health-partners-customer-story/), captured 2026-10-07 | 2026-10-25 |
| Labelbox | [Genentech](https://www.usedby.ai/companies/genentech.md) | Confirmed | [labelbox.com](https://labelbox.com/customers/genentech-customer-story/), captured 2026-10-07 | 2026-10-25 |
| Labelbox | [Intuitive](https://www.usedby.ai/companies/intuitive.md) | Confirmed | [labelbox.com](https://labelbox.com/customers/intuitive-surgical-customer-story/), captured 2026-10-07 | 2026-10-25 |
| Labelbox | [VirtuSense](https://www.usedby.ai/companies/virtusense.md) | Confirmed | [labelbox.com](https://labelbox.com/customers/virtusense-customer-story/), captured 2026-10-07 | 2026-10-25 |
| Labelbox | [Stryker](https://www.usedby.ai/companies/stryker.md) | Observed | [labelbox.com](https://labelbox.com/), captured 2026-10-25 | 2026-10-25 |
| H2O.ai | [ArmadaHealth](https://www.usedby.ai/companies/armadahealth.md) | Confirmed | [h2o.ai](https://h2o.ai/case-studies/armadahealth-h2o), captured 2026-10-17 | 2026-10-24 |
| H2O.ai | [Change Healthcare](https://www.usedby.ai/companies/change-healthcare.md) | Confirmed | [h2o.ai](https://h2o.ai/case-studies/change-healthcare-h2o), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [HCA Healthcare](https://www.usedby.ai/companies/hca-healthcare.md) | Confirmed | [h2o.ai](https://h2o.ai/case-studies/hca-h2o), captured 2026-10-24 | 2026-10-24 |
| H2O.ai | [Kaiser Permanente](https://www.usedby.ai/companies/kaiser-permanente.md) | Observed | [h2o.ai](https://h2o.ai/case-studies/), captured 2026-10-07 | 2026-10-07 |
| H2O.ai | [UCSF Health](https://www.usedby.ai/companies/ucsf-health.md) | Observed | [h2o.ai](https://h2o.ai/case-studies), captured 2026-10-24 | 2026-10-24 |
| Dataiku | [Moderna](https://www.usedby.ai/companies/moderna.md) | Observed | [dataiku.com](https://www.dataiku.com/company/customers), captured 2026-10-20 | 2026-10-20 |
| Dataiku | [Roche](https://www.usedby.ai/companies/roche.md) | Observed | [dataiku.com](https://www.dataiku.com/company/customers), captured 2026-10-20 | 2026-10-20 |
| Dataiku | [Johnson & Johnson](https://www.usedby.ai/companies/johnson-johnson.md) | Observed | [dataiku.com](https://www.dataiku.com/company/customers), captured 2026-10-20 | 2026-10-20 |
| Dataiku | [Novartis](https://www.usedby.ai/companies/novartis.md) | Observed | [dataiku.com](https://www.dataiku.com/company/customers), captured 2026-10-20 | 2026-10-20 |
| Dataiku | [Regeneron](https://www.usedby.ai/companies/regeneron.md) | Observed | [dataiku.com](https://www.dataiku.com/company/customers), captured 2026-10-20 | 2026-10-20 |
| Weights & Biases | [OpenFold](https://www.usedby.ai/companies/openfold.md) | Confirmed | [wandb.ai](https://wandb.ai/site/customers/democratizing-ai-for-biology-with-openfold/), captured 2026-10-08 | 2026-10-24 |
| Weights & Biases | [Rad AI](https://www.usedby.ai/companies/rad-ai.md) | Confirmed | [wandb.ai](https://wandb.ai/site/customers/radai/), captured 2026-10-03 | 2026-10-24 |
| Weights & Biases | [AstraZeneca](https://www.usedby.ai/companies/astrazeneca.md) | Observed | [wandb.ai](https://wandb.ai/site/customers/), captured 2026-10-24 | 2026-10-24 |
| Weights & Biases | [Bayer](https://www.usedby.ai/companies/bayer.md) | Observed | [wandb.ai](https://wandb.ai/site/customers/), captured 2026-10-24 | 2026-10-24 |
| Anyscale | [Multiply Labs](https://www.usedby.ai/companies/multiply-labs.md) | Confirmed | [anyscale.com](https://www.anyscale.com/resources/case-study/multiply-labs), captured 2026-10-07 | 2026-10-20 |
| Anyscale | [Onepot AI](https://www.usedby.ai/companies/onepot-ai.md) | Confirmed | [anyscale.com](https://www.anyscale.com/resources/case-study/onepot-ai), captured 2026-10-07 | 2026-10-20 |
| Anyscale | [Recursion](https://www.usedby.ai/companies/recursion.md) | Observed | [anyscale.com](https://www.anyscale.com/customers), captured 2026-10-20 | 2026-10-20 |
| Anyscale | [Doctolib](https://www.usedby.ai/companies/doctolib.md) | Signal (job post) | [jobs.ashbyhq.com](https://jobs.ashbyhq.com/doctolib/394db854-2131-4a7e-8d3d-103af9975305), captured 2026-10-19 | 2026-10-19 |
| DataRobot | [Personify Health](https://www.usedby.ai/companies/personify-health.md) | Confirmed | [datarobot.com](https://www.datarobot.com/customers/personify-health/), captured 2026-10-07 | 2026-10-19 |
| DataRobot | [Baptist Health](https://www.usedby.ai/companies/baptist-health.md) | Observed | [datarobot.com](https://www.datarobot.com/why-datarobot/customers/), captured 2026-10-19 | 2026-10-19 |
| DataRobot | [Biogen](https://www.usedby.ai/companies/biogen.md) | Observed | [datarobot.com](https://www.datarobot.com/why-datarobot/customers/), captured 2026-10-19 | 2026-10-19 |
| DataRobot | [Tampa General Hospital](https://www.usedby.ai/companies/tampa-general-hospital.md) | Observed | [datarobot.com](https://www.datarobot.com/why-datarobot/customers/), captured 2026-10-19 | 2026-10-19 |
| Encord | [Voxel](https://www.usedby.ai/companies/voxel.md) | Confirmed | [encord.com](https://encord.com/customers/voxel-case-study/), captured 2026-10-07 | 2026-10-25 |
| Encord | [Mayo Clinic](https://www.usedby.ai/companies/mayo-clinic.md) | Observed | [encord.com](https://encord.com/pricing/), captured 2026-10-25 | 2026-10-25 |
| Hugging Face | [Ryght](https://www.usedby.ai/companies/ryght.md) | Confirmed | [huggingface.co](https://huggingface.co/blog/ryght-case-study), captured 2026-10-19 | 2026-10-19 |
| Scale AI | [Mayo Clinic](https://www.usedby.ai/companies/mayo-clinic.md) | Observed | [scale.com](https://scale.com/), captured 2026-10-17 | 2026-10-17 |

## Method

Public customer lines of active ML platforms & training data tools at companies classified in Healthcare. No software vendor had to be left out. Company mix by strongest proof: 18 confirmed, 0 declared, 16 observed and 1 signal.

## Questions

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

Domino Data Lab leads: 9 of the 35 Healthcare companies on usedby that use ML platforms & training data tools use it. Next: Labelbox (5), H2O.ai (5), Dataiku (5), and Weights & Biases (4).

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

35 Healthcare companies on usedby use at least one of 10 ML platforms & training data tools. It counts the companies usedby tracks.

### What proof backs these lines?

Of the 35 companies, each counted at its strongest proof: 18 confirmed, 0 declared, 16 observed and 1 known from a job post.

### How does usedby build this ranking?

usedby counts each Healthcare 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 Healthcare: [Biotech & Pharma](https://www.usedby.ai/companies/industry/biotech-pharma/ml-ops-training.md) (18)

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

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