List your tool

Head to head · 2026

JADBio vs Paige

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

JADBio

AutoML built specifically for biological and molecular data, aimed at biomarker discovery by researchers rather than…

3.9Free

Visit JADBio (opens JADBio in a new tab)

Paige

Digital pathology AI co-pilot from Memorial Sloan Kettering researchers, acquired by Tempus in 2025

4.1Not listed

Visit Paige (opens Paige in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: JADBio does not list a price

  • Free plan

    JADBio

    Only JADBio has one

  • Higher rating

    Paige

    3.9 against 4.1

  • Same job?

    Yes

    Both are Healthcare AI tools

Side by side

Compared onJADBioPaige
Our rating3.94.1Better
Starts atFreeNot listed
Free planYesBetterNo
CategoryHealthcare AIHealthcare AI
PlansFreeSee pricing
Key features
  • AutoML tuned for biological and molecular data
  • Biomarker discovery workflows
  • Survival analysis support
  • GUI for researchers plus an API
  • Available on the AWS Marketplace
  • Paige Alba AI co-pilot for digital pathology tissue-slide analysis
  • Cancer diagnosis, tissue subtyping, and molecular biomarker discovery support
  • Founded in 2017 by researchers from Memorial Sloan Kettering Cancer Center
  • Acquired by Tempus in August 2025, continuing under its own brand
  • Enterprise deployment with dedicated support for hospital and lab pathology teams
Pros
  • Handles omics data properties that break general AutoML tooling
  • Usable by researchers without a data science team
  • Survival analysis included, which general platforms usually lack
  • Research pedigree from Memorial Sloan Kettering lends real clinical credibility
  • Tempus backing adds financial resources and precision-medicine data integration
  • Deep oncology pathology specialization outperforms general-purpose medical imaging AI
Cons
  • A computationally discovered biomarker is a hypothesis, not a finding
  • Independent cohort validation is still required
  • Narrow domain - no use outside life sciences data
  • Enterprise-only pricing requires a sales conversation before evaluation
  • Now part of a larger company, a real change from its independent-startup years
  • Narrow pathology focus means it's not a fit for non-oncology diagnostic workflows
CompanyJADBioPaige, founded 2017

Prices come from each vendor's pricing page, last checked 20260901. Check the vendor before you buy.

FAQ

Questions people ask

Is JADBio better than Paige?

In our reviews JADBio scores 3.9 and Paige scores 4.1. The better pick depends on the job. JADBio: AutoML built specifically for biological and molecular data, aimed at biomarker discovery by researchers rather than data scientists. Paige: Digital pathology AI co-pilot from Memorial Sloan Kettering researchers, acquired by Tempus in 2025.

Which is cheaper, JADBio or Paige?

JADBio: free. Paige: see pricing.

Do JADBio and Paige have free plans?

Only JADBio has a free plan.

More comparisons