- Research-first ML for molecular discovery
- Targets drug discovery needs rather than a generic suite
- Scales across organization-wide research programs
Best for
Computational discovery research teams
Pricing
Custom
SoftFinders Score
7.2 / 10
Overview
What is Valence Labs?
Valence Labs is an AI drug discovery research lab backed by Recursion, developing machine learning methods for molecular discovery.
- Research focus: It supports R&D acceleration and computational biology rather than guaranteed clinical outcomes, with candidates depending on downstream validation and trials.
- Best-fit environment: Computational discovery research teams may benefit most when research-first ML aligns with discovery workflows.
- Engagement model: Access runs through pharma partnerships rather than self-service subscriptions, making data requirements, timelines to validated leads, and collaboration structure considerations.
- Commercial model: Pricing is sales-led and scoped per buyer rather than publicly posted, while the research-facing model should be weighed against packaged software options.
Valence Labs is best assessed as a research partnership whose fit depends on scientific goals, data access, and collaboration requirements.
KEY FEATURES
What you get out of the box
Partner Workflows
Workflows for pharma partner collaborations
Target Discovery
Identifies potential drug targets from biological data
Molecule Design
Generates and ranks small molecule candidates
Protein Modeling
Predicts and designs protein structures
Knowledge Graph
Connects biological and chemical knowledge sources
Virtual Screening
Screens compound libraries against targets
USE CASES
Where teams put it to work
Editorial Take
What we like, and what to verify
- Research-facing rather than packaged software
- Drug success still depends on downstream trials
- Pricing is sales-led and needs scoping upfront
Screenshots
A look inside

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FAQ
