Exin Therapeutics vs Isomorphic Labs

Side-by-side comparison of features, pricing, and ratings

Analysis reviewed Live tool data as of 2026-10-09
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At a glance

DimensionExin TherapeuticsIsomorphic Labs
ApproachAI target discovery for neurotherapeutics using multimodal data and neural circuit modelingAI-first drug discovery built on AlphaFold, focusing on protein-ligand interactions and generative molecule design
Key InnovationMultimodal AI predicting drug effects across neural disorders, bridging animal-to-human translation via neural manifoldsNobel Prize-winning AlphaFold system integrated into a Drug Design Engine for predictive and generative modeling
Target UsersNeuroscience drug discovery researchers, CNS biotech/pharma R&D, academic groupsLarge pharma companies seeking deep collaborations for large-scale drug development
Partnership ModelNot specified; platform still in developmentDeep collaborations with Novartis and Johnson & Johnson; operates solely through pharma partnerships
PricingContact for pricingContact for pricing

For neuroscience-focused teams needing AI-driven target discovery with multimodal data and circuit-level insights, Exin Therapeutics is the specialized choice. Isomorphic Labs, with its AlphaFold-based platform and partnerships with Novartis/J&J, is better suited for large pharma collaborations on broad drug development programs. Choose Exin for neuro-specific early discovery; choose Isomorphic for large-scale, protein-centric drug design.

Exin Therapeutics
Exin Therapeutics

A research-stage AI platform for discovering neurotherapeutics that act on neural circuits across multiple disorders.

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Isomorphic Labs
Isomorphic Labs

Isomorphic Labs applies generative AI drug discovery to design novel molecules and predict how candidates will perform.

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Pricing
Contact Sales
Contact Sales
Plans
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Popularity
5 views
7.5k views
Skill Level
Advanced
Advanced
API Available
Platforms
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Categories
🧬 Drug Discovery & Life Sciences
🧬 Drug Discovery & Life Sciences
Features
Target discovery platform for neurotherapeutics aimed at neural circuits rather than single targets
Multimodal AI that predicts a drug candidate's potential across multiple neural disorders simultaneously
Cross-disorder assessment rather than one indication at a time
Agnostic to therapeutic modality
Agnostic to genetic background
Multi-target effect identification
Highly localized, circuit-level targeting
Positioned to enable discovery of next-generation neurotherapeutics
Public Science section describing the discovery approach
Team, News, Blog and Careers sections for following company progress
Direct founders contact channel for research and collaboration enquiries
Drug Design Engine spanning generative molecule design through lead optimization
Predictive AI models that anticipate how candidate drugs will perform
Generative models for designing novel molecules
Builds on and beyond the Nobel-winning AlphaFold system
End-to-end research collaborations from target identification to lead optimization
Digital biology approach aimed at discovery at digital speed
Named pharma partners include Johnson & Johnson, Novartis and Eli Lilly
Joined the Virtual Biology Initiative to build foundational data for AI disease models
Funder of Biohub's $1.8B initiative to train AI models that predict cell behavior
Bioresilience framework for biological threats and health emergencies
Series B investment round announced May 2026 to scale the Drug Design Engine
Follows a $600M external raise in March 2025
President Max Jaderberg appointed November 2025 to integrate AI and science
Interdisciplinary team of drug discovery experts and ML specialists
Founded by Demis Hassabis, who serves as CEO

Who should pick which

  • Neuroscience startup founder
    Pick: Exin Therapeutics

    Exin targets early-stage CNS drug discovery with multimodal AI and circuit-level focus, ideal for startups lacking massive datasets but needing novel target identification.

  • Big pharma R&D executive
    Pick: Isomorphic Labs

    Isomorphic Labs partners with pharma giants like Novartis and J&J for large-scale programs, offering AlphaFold-based protein design and predictive modeling at scale.

  • Academic neuroscience researcher
    Pick: Exin Therapeutics

    Exin's platform bridges animal-to-human data gaps and provides circuit-level insights, valuable for translational research despite being in development.

  • Drug discovery tool investor
    Pick: Isomorphic Labs

    Isomorphic Labs has strong financial backing ($600M investment, Series B) and proven partnerships, indicating higher commercialization readiness and market traction.

Frequently Asked Questions

Exin Therapeutics vs Isomorphic Labs: which should you choose?

For neuroscience-focused teams needing AI-driven target discovery with multimodal data and circuit-level insights, Exin Therapeutics is the specialized choice. Isomorphic Labs, with its AlphaFold-based platform and partnerships with Novartis/J&J, is better suited for large pharma collaborations on broad drug development programs. Choose Exin for neuro-specific early discovery; choose Isomorphic for large-scale, protein-centric drug design.

Are these platforms ready to use off-the-shelf?

No. Exin is still in development and not a commercial platform. Isomorphic Labs operates solely through partnerships, not as a standalone product.

Which tool is better for small molecule drug discovery?

Isomorphic Labs, with AlphaFold for protein-ligand interactions and generative molecule design, is more suited for small molecule programs. Exin is modality-agnostic but focuses on target identification.

Can I use these for psychiatric disorders?

Exin specifically targets neuroscience and neural disorders, including psychiatric conditions, using multimodal data. Isomorphic does not specialize in CNS.

Do they offer API access?

Neither platform offers public API access. Exin is in development; Isomorphic's models are used internally in collaborations.

What is the latest funding news for Isomorphic Labs?

Isomorphic closed a Series B round in February 2026 (undisclosed amount) and raised $600M in external investment in March 2025.

Does Exin have any partnerships or published results?

No partnerships or peer-reviewed publications are mentioned in the provided data. The platform is still in development.

Which tool is more cost-effective for a small biotech?

Exin likely offers more flexible pricing for smaller entities, while Isomorphic requires large-scale partnership commitments. Neither has public pricing.

How does Exin's neural circuit approach work?

Exin integrates neural, behavioral, molecular, and clinical data to learn conserved neural manifolds, enabling predictions that generalize from animal to human outcomes.

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Last reviewed: July 3, 2026