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ML platforms & training data tools used by Biotech & Pharma companies

Each line links its public proof and the date usedby last checked it.

18

Biotech & Pharma companies use ML platforms & training data tools

8 confirmed 10 observed

The most used: Domino Data Lab (9), Dataiku (5), and Anyscale (3).Data as of Oct 24, 2026

Ranking

Tools ranked by the Biotech & Pharma companies that use them. Ties go to the stronger proof.

Who uses each tool

Strongest proof first. A job post is a signal, the weakest proof.

  1. 1Domino Data Lab9 companies · Checked Oct 21, 20269
    4 confirmed 5 observed

    Domino Data Lab profile

  2. 2Dataiku5 companies · Checked Oct 20, 20265
    0 confirmed 5 observed

    Dataiku profile

  3. 3Anyscale3 companies · Checked Oct 20, 20263
    2 confirmed 1 observed

    Anyscale profile

  4. 4Weights & Biases3 companies · Checked Oct 24, 20263
    1 confirmed 2 observed

    Weights & Biases profile

  5. 5Labelbox1 company · Checked Oct 17, 20261
    1 confirmed 0 observed

    Labelbox profile

  6. 6DataRobot1 company · Checked Oct 19, 20261
    0 confirmed 1 observed

    DataRobot profile

How usedby counts

8 confirmed 10 observed

A company counts once per tool, at its strongest proof: confirmed (a case study, a named testimonial, a press release or the company's own account), declared (the company told usedby), observed (a vendor logo wall or customers page) or signal (a job post). Counts cover the companies on usedby, never the whole market.

No software vendor had to be left out.

Data as of October 24, 2026.

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). See Domino Data Lab.

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.