SIDE-BY-SIDE COMPARISON

CompareIsomorphic LabsvsRecursion

Review features, pricing signals, strengths, and trade-offs before choosing.

Generated from current catalog profiles Catalog profile signals Use-case comparison
AI Drug Discovery & Molecule Design Software

Recursion

SF 8.1

AI biotech with cellular imaging and automation

Contact sales

Quick decision guide

Choose based on your workflow

Not enough differentiated product data yet to make a strong automatic pick.

Overview

How each tool is described

Isomorphic Labs

Isomorphic Labs is a DeepMind spinout building AI models for drug design, including protein structure prediction and molecule generation for pharma partners. The product is positioned around R&D acceleration and computational biology rather than guaranteed clinical outcomes, and engagement typically happens through pharma partnerships rather than self-serve subscription buying. Buyers should weigh data access requirements, expected timelines to validated leads, and the cost structure across collaborations before committing to a long discovery program today.

For large pharma partners and biologics programs, Isomorphic Labs is worth a serious look thanks to frontier ai models for biologics design. The honest trade-off is that not a self-serve buyer product today. Pricing is sales-led and scoped per buyer rather than posted publicly. Buyers should still verify EHR or workflow fit, scope, and support before committing.

View full Isomorphic Labs profile

Recursion

Recursion is an AI drug discovery company that uses cellular imaging, automation, and machine learning to identify and validate new drug candidates. The product is positioned around R&D acceleration and computational biology rather than guaranteed clinical outcomes, and engagement typically happens through pharma partnerships rather than self-serve subscription buying. Buyers should weigh data access requirements, expected timelines to validated leads, and the cost structure across collaborations before committing to a long discovery program today.

The clearest fit for Recursion is pharma collaborators and internal pipeline programs, with the platform leaning into phenomics platform with multimodal data. Limitations are real: direct buyer access is limited to partnerships. Pricing is sales-led and scoped per buyer rather than posted publicly. Buyers should confirm validation depth, support coverage, and rollout plan before signing.

View full Recursion profile

Side-by-side

Key differences

Criteria
AI Drug Discovery & Molecule Design SoftwareIsomorphic Labs
AI Drug Discovery & Molecule Design SoftwareRecursion
Best for
AI Drug Discovery & Molecule Design Software
AI Drug Discovery & Molecule Design Software
Score
8.4/10
8.1/10
Pricing
Contact sales
Contact sales
Category / audience
AI Healthcare & Medical Software › AI Drug Discovery & Molecule Design Software
AI Healthcare & Medical Software › AI Drug Discovery & Molecule Design Software

OVERLAP

Where Isomorphic Labs and Recursion are similar

Both tools cover similar catalog signals. The deciding factor is usually workflow fit, implementation needs, and ecosystem fit.

5 capabilities5 workflows

Shared capabilities

Capability overlap

  • Virtual ScreeningScreens compound libraries against targets
  • Literature IntelligenceMines biomedical literature for relevant evidence
  • Multi OmicsIntegrates genomic and other omics data sources
  • Lab IntegrationConnects discovery insights with wet-lab workflows
  • Partner WorkflowsWorkflows for pharma partner collaborations

Shared workflows

Workflow overlap

  • Run virtual screens against targetsRun virtual screening across large compound libraries.
  • Collaborate with pharma partnersCollaborate with pharma partners on discovery programs.
  • Bridge AI design and wet lab cyclesBridge AI-generated designs with wet-lab testing cycles.

Feature check

Side-by-side feature check

Feature
Isomorphic Labs
Recursion
Knowledge GraphConnects biological and chemical knowledge sources
-
Target DiscoveryIdentifies potential drug targets from biological data
-
Virtual ScreeningScreens compound libraries against targets
Literature IntelligenceMines biomedical literature for relevant evidence
Multi OmicsIntegrates genomic and other omics data sources
Lab IntegrationConnects discovery insights with wet-lab workflows
7 capabilities compared.2 differentiating rows are shown first.

The trade-offs

Pros & cons of each tool

Trade-offs

Isomorphic Labs

Pros
  • Frontier AI models for protein and molecule design
  • Strong pharma partnership track record
  • Connected to DeepMind research depth
Cons
  • Not a self-serve buyer product today
  • Engagement is partnership and exclusivity heavy
  • Public access to platform tools is limited
Trade-offs

Recursion

Pros
  • Phenomics platform with massive multimodal data
  • Active pharma collaborations and internal pipeline
  • Public company with transparent disclosures
Cons
  • Direct buyer access remains limited to partnerships
  • Drug development cycles take many years
  • Recursion brand evolves with Exscientia integration

Final verdict

Best fit depends on your workflow

Catalog verdict · low confidence

Current catalog data shows meaningful overlap between Isomorphic Labs and Recursion. Use the signals below to decide based on workflow, ecosystem, pricing, and implementation fit.

Shared catalog overlap

Isomorphic Labs and Recursion share 10 catalog signals, so the decision should focus on fit rather than broad capability alone.

Differentiators available

Isomorphic Labs has 3 visible decision signals and Recursion has 3.

Score signal

Isomorphic Labs has the higher SoftFinders Score in the current catalog data.

TRY THEM YOURSELF

See which one fits your workflow

Both tools have their strengths, the best way to decide is to spend a few minutes inside each.