# ML platforms & training data tools used by Biotech & Pharma companies usedby lists 18 Biotech & Pharma companies using 6 ML platforms & training data tools. The most used is Domino Data Lab: 9 of the 18 Biotech & Pharma companies on usedby, every proof level counted. These are counts of the companies usedby tracks, not a market share. Data as of 2026-10-24. ## Ranking Tools ranked by the companies of the 18 Biotech & Pharma 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 | [Dataiku](https://www.usedby.ai/tools/dataiku.md) | 5 | 0 | 0 | 5 | 0 | 2026-10-20 | | 3 | [Anyscale](https://www.usedby.ai/tools/anyscale.md) | 3 | 2 | 0 | 1 | 0 | 2026-10-20 | | 4 | [Weights & Biases](https://www.usedby.ai/tools/weights-and-biases.md) | 3 | 1 | 0 | 2 | 0 | 2026-10-24 | | 5 | [Labelbox](https://www.usedby.ai/tools/labelbox.md) | 1 | 1 | 0 | 0 | 0 | 2026-10-17 | | 6 | [DataRobot](https://www.usedby.ai/tools/datarobot.md) | 1 | 0 | 0 | 1 | 0 | 2026-10-19 | ## 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 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 | | 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 | | 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 | | 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 | [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 | | Labelbox | [Genentech](https://www.usedby.ai/companies/genentech.md) | Confirmed | [labelbox.com](https://labelbox.com/customers/genentech-customer-story/), captured 2026-10-07 | 2026-10-17 | | 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 | ## Method Public customer lines of active ML platforms & training data tools at companies classified in Biotech & Pharma. No software vendor had to be left out. Company mix by strongest proof: 8 confirmed, 0 declared, 10 observed and 0 signals. ## Questions ### Which ML platforms & training data tools do Biotech & Pharma companies use most? Domino Data Lab leads: 9 of the 18 Biotech & Pharma companies on usedby that use ML platforms & training data tools use it. Next: Dataiku (5), Anyscale (3), Weights & Biases (3), and Labelbox (1). ### How many Biotech & Pharma companies use ML platforms & training data tools? 18 Biotech & Pharma companies on usedby use at least one of 6 ML platforms & training data tools. It counts the companies usedby tracks. ### What proof backs these lines? Of the 18 companies, each counted at its strongest proof: 8 confirmed, 0 declared, 10 observed and 0 known from a job post. ### How does usedby build this ranking? usedby counts each Biotech & Pharma 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. Industry page: https://www.usedby.ai/companies/industry/biotech-pharma.md · Category page: https://www.usedby.ai/tools/category/ml-ops-training.md --- Source: https://www.usedby.ai/companies/industry/biotech-pharma/ml-ops-training · How we check: https://www.usedby.ai/methodology