Lamin vs Isomorphic Labs

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

Analysis reviewed Live tool data as of 2026-10-09
Cross-checked through our multi-step verification ·
Saved

At a glance

DimensionLaminIsomorphic Labs
Target UsersComputational biology researchers, ML engineers, biotech R&D teamsLarge pharma companies seeking AI drug discovery partnerships
Core TechnologyOpen-source data lakehouse with lineage tracking, bio-format support, and Git-like branchingProprietary AI models built on AlphaFold for predictive and generative drug design
DeploymentSelf-hosted on local, S3, GCP, Azure, R2; cloud hub managed optionPrivate partnership (no public API or software)
Key IntegrationsNextflow, Snakemake, W&B, MLFlow, Postgres, SQLite, cloud storageNot disclosed (closed partnership model)

If you are a computational biology lab or biotech needing to manage and trace large multi-omics datasets with open-source flexibility, Lamin is the clear choice—it's free, self-hosted, and integrates with your existing workflows. If you are a large pharma company seeking a high-risk, high-reward AI drug discovery partnership (with no public software access), Isomorphic Labs is the only option, but only if you can afford its enterprise-only, closed model. For most individual researchers and small teams, Lamin is immediately actionable; Isomorphic Labs is not accessible.

Try LaminTry Isomorphic Labs
Lamin
Lamin

Lamin is an open data platform and open-source LaminDB library for lineage tracking, multimodal lakehouse storage, and FAIR dataset governance in computational

Visit Website
Isomorphic Labs
Isomorphic Labs

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

Visit Website
Pricing
Freemium
Contact Sales
Plans
$0/mo
$20/mo billed annually
$200/seat/mo billed annually
$200/seat/mo billed annually
—
Popularity
4 views
7.5k views
Skill Level
Intermediate
Advanced
API Available
Platforms
Web
—
Categories
📊 Data & Analytics🧬 Drug Discovery & Life Sciences
🧬 Drug Discovery & Life Sciences
Features
Automatic lineage tracking across agent sessions, notebooks, scripts, workflows, shell sessions, and Cursor IDE
Open-source LaminDB library with Python (pip install lamindb) and R (laminr) packages
Format-agnostic lakehouse for parquet, zarr, AnnData, SpatialData, images, and tabular data
ACID snapshot isolation, time travel, and schema evolution over multimodal data
Git-style branching and versioning for datasets, records, and models
Merge Change Requests from agents and collaborators
Co-versioning of data and code for reproducible results
Schema-based LIMS and ELN records management with ontologies and notes
Public biological ontologies: Gene, Protein, Organism, CellLine, CellType, CellMarker, Tissue, Disease, Phenotype, Pathway and more
FAIR dataset validation and one-line annotation for files, DataFrames, AnnData, and SpatialData
Zero-copy data sharing across databases and storage
Query and batch-load via your pydata or R stack with no REST API in the path
Fine-grained permissions and audit logs for humans and agents
Notion sync via lamindb.integrations
annbatch data loader reaching 60k samples/second on terabyte-scale anndata training
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
Integrations
Notion
Nextflow
Redun
Snakemake
Vitessce
Weights & Biases
MLFlow
ClearML
Lightning
Postgres
SQLite
AWS S3
GCP
Azure
Cloudflare R2

Who should pick which

  • Solo founder
    Pick: Lamin

    Lamin is open-source and free to self-host, with lineage tracking and bio-format support ideal for managing multi-omics data from a single researcher's laptop to cloud storage. Isomorphic Labs requires large pharma partnerships and has no public access.

  • Pharma R&D team
    Pick: Isomorphic Labs

    If the team is part of a large pharma with resources for an AI partnership, Isomorphic Labs provides advanced predictive and generative models built on AlphaFold for drug design. However, Lamin could supplement this with data management.

  • Academic lab
    Pick: Lamin

    Lamin's open-source nature, FAIR compliance, and zero-copy sharing align with academic needs for reproducibility and low cost. Isomorphic Labs is inaccessible to academia without a pharma partnership.

  • Biotech startup needing ML pipeline tracking
    Pick: Lamin

    Lamin integrates with Nextflow, Snakemake, W&B, and MLFlow, providing full lineage for ML experiments on biological data. Isomorphic Labs does not offer such infrastructure.

  • Big pharma executive exploring AI partnerships
    Pick: Isomorphic Labs

    Isomorphic Labs offers a proven AI drug design engine with Nobel-winning AlphaFold foundation and partnerships with Novartis and J&J. Lamin is complementary but not a direct replacement for AI-driven molecule design.

Frequently Asked Questions

Lamin vs Isomorphic Labs: which should you choose?

If you are a computational biology lab or biotech needing to manage and trace large multi-omics datasets with open-source flexibility, Lamin is the clear choice—it's free, self-hosted, and integrates with your existing workflows. If you are a large pharma company seeking a high-risk, high-reward AI drug discovery partnership (with no public software access), Isomorphic Labs is the only option, but only if you can afford its enterprise-only, closed model. For most individual researchers and small teams, Lamin is immediately actionable; Isomorphic Labs is not accessible.

Can I use Lamin to track AI model training experiments?

Yes, Lamin integrates with MLFlow, Weights & Biases, and workflow managers like Nextflow, allowing you to trace data lineage from raw datasets to trained models.

Is Isomorphic Labs' software available for individual researchers?

No, Isomorphic Labs only partners with large pharma companies. It does not offer a public API or software for individual use.

Does Lamin support non-biology scientific data?

Lamin is designed for biology (bio-registries, ontologies). It lacks built-in support for other scientific fields, though its data lakehouse approach could be adapted.

What is the latest version of Lamin's hub?

As of June 29, 2026, hub 1.44.2 is the latest, with bug fixes for sheets with union dtype columns.

Can I deploy Lamin on-premise behind a firewall?

Yes, Lamin is open-source and can be self-hosted on local servers or cloud storage with no vendor lock-in.

Does Isomorphic Labs have any public pricing tiers?

No, pricing is contact-only and negotiated per partnership. The company is funded by $600M+ investment, not software sales.

What is the Arc Virtual Cell Atlas mentioned in Lamin news?

Lamin's hub 1.43.0 provides a database mirror for the Arc Virtual Cell Atlas (600M cells, 41TB), enabling entity queries and zero-copy sharing for transcriptional profiles.

How does Isomorphic Labs' Drug Design Engine work?

It combines predictive models (AlphaFold for protein structures) and generative AI to design novel molecules, accessible only via partnership with pharma companies.

More Lamin or Isomorphic Labs comparisons

ironclaw-ai-vision vs Isomorphic Labs comparison

These tools are polar opposites in audience and purpose. Ironclaw AI Vision is a free, offline-first PWA for individual fitness tracking with AI coaching and meal planning – ideal for privacy-consciou

Angle vs Isomorphic Labs comparison

Angle and Isomorphic Labs serve completely different domains—Angle is a free, niche pose-measurement tool for fitness professionals, while Isomorphic Labs is an enterprise AI drug discovery platform f

CalBye vs Isomorphic Labs comparison

These tools serve completely different markets. CalBye is a consumer nutrition app for individuals wanting effortless calorie tracking via photos, while Isomorphic Labs is an enterprise drug discovery

Ray vs Isomorphic Labs comparison

Choose Ray if you need an adaptive, low-barrier AI personal trainer for flexible, voice-guided workouts — it's ideal for busy individuals wanting consistency without gym intimidation. Choose Isomorphi

MediSphere vs Isomorphic Labs comparison

MediSphere and Isomorphic Labs serve completely different healthcare verticals. Choose MediSphere if you run a small clinic needing AI-powered administration, no-show prediction, and EHR. Choose Isomo

Swimio vs Isomorphic Labs comparison

Isomorphic Labs and Swimio serve completely different worlds: one is a high-stakes pharma AI platform for billion-dollar drug programs, the other a consumer fitness app for swimmers. Choose based on y

Explore each tool further

Lamin
View Lamin reviewLamin alternatives
Isomorphic Labs
View Isomorphic Labs reviewIsomorphic Labs alternatives

Browse these categories

Best AI Data & Analytics toolsBest AI Drug Discovery & Life Sciences tools
Still deciding? Get the weekly AI tools brief

One email a week — new tools, honest comparisons, no spam.

Last reviewed: July 3, 2026