Lamin GTM brain

Lamin provides an open data platform for scientists and engineers to query, trace and govern multimodal R&D data.

category

Life sciences data infrastructure

market profile

  • text: Biopharma and academic teams struggle to connect heterogeneous experimental datasets, metadata and computational workflows.
  • text: The platform combines a lineage-native lakehouse with biological registries and supports individual through enterprise deployments.

personas

  • title: Head of computational biology
    pains:
    • Scientists cannot easily reproduce analyses across notebooks and workflows
    • Biological datasets and metadata live in disconnected formats
  • title: R&D data platform or engineering leader
    pains:
    • Maintaining access controls and lineage across cloud storage and databases
    • Enterprise scientists need interoperable tools without infrastructure lock-in
  • title: Research data scientist
    pains:
    • Finding and reusing validated datasets takes time
    • Results lose the code and context needed to reproduce them

icp

  • text: Biotech and pharma R&D organizations using computational biology, multimodal data and machine learning.
  • text: Academic labs and public data initiatives needing affordable reproducible scientific data infrastructure.

message pillars

  • text: Follow data, code and agent lineage across workflows.
  • text: Query diverse scientific formats together.
  • text: Keep infrastructure control and avoid vendor lock-in.

objections

  • objection: Our data already lives across cloud and on-prem systems.
    response: Lamin describes direct access to existing storage and databases; test the specific deployment and permissions.
  • objection: We need security and enterprise governance.
    response: Team and enterprise tiers list audit logs, SSO, permissions and deployment options; validate them against procurement requirements.

competitors

  • name: Benchling
    why: Biotech R&D notebook, registry and lineage platform with overlapping records management.
  • name: Sapio Sciences
    why: Life sciences LIMS and ELN with R&D data management.
  • name: DNAnexus
    why: Bioinformatics platform used by institutions for research data and analysis.

influencers

  • name: Alex Wolf
    url: https://lamin.ai/about
    why: Co-founder and CEO, creator of Scanpy and a computational biology practitioner.

keywords

  • biological data lakehouse
  • scientific data lineage
  • bioinformatics data management
  • multimodal data platform
  • research data versioning
  • open source LIMS

voice

  • Technical and precise
  • Open-source oriented
  • Scientist led

signals

  • text: A biotech is building a computational biology or AI data platform across multiple experimental modalities.
  • text: Research teams are standardizing provenance and reusable data across notebooks and pipelines.

stack

  • Python
  • R
  • Postgres
  • SQLite
  • AWS S3
  • GCP
  • Nextflow

pricing

model: freemium
starting price: Free; Pro $20/month billed annually

motion

hybrid

channels

  • open source
  • GitHub
  • scientific community
  • SEO
  • LinkedIn

confidence

high

Founders

  • name: Alex Wolf
    title: Founder/CEO
    role: CEO
    bio: Building open-source data infra for biology at Lamin. Previously, created Scanpy and led the build-up of Cellarity’s compute platform.
  • name: Sunny Sun
    title: Founder
    role: Founder

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