Quilt Data GTM brain

Quilt provides an AWS-native scientific data management platform for life sciences teams to find, govern and reuse research data.

category

Scientific data management

market profile

  • text: Life sciences teams need to connect instrument files, metadata and analysis results across scientific workflows.
  • text: Research teams increasingly need discoverable and reproducible data to support AI and regulated work.

personas

  • title: Head of Scientific Data Platform
    pains:
    • Scientific files and metadata are scattered across S3 and lab tools.
    • Security and governance must scale without removing data from AWS.
  • title: Computational Biology Lead
    pains:
    • Researchers lose time locating inputs and reconstructing dataset versions.
    • Omics pipelines need reproducible data and clear experimental context.
  • title: Research Informatics or Lab Operations Director
    pains:
    • Instrument outputs are difficult to share quickly with scientists.
    • Unlinked metadata makes downstream data interpretation harder.

icp

  • text: Biotech and pharma organizations using AWS S3 for large scientific datasets, particularly sequencing, omics and connected-lab workflows.
  • text: Research organizations with multiple teams or buckets and requirements for controlled sharing, provenance or GxP readiness.

message pillars

  • text: Make scientific data ready to find and use in AI workflows.
  • text: Package data and metadata into versioned, searchable assets.
  • text: Speed access to instrument data for scientists.

objections

  • objection: Must sensitive scientific data leave our AWS environment?
    response: Quilt says it deploys inside the customer's AWS account; validate security and access configuration during evaluation.
  • objection: Can our scientists adopt another tool?
    response: Pilot a high-value dataset and compare discovery time and reproducibility with existing workflows.

competitors

  • name: Atlan
    why: Provides data catalog and governance capabilities that can overlap with scientific data discovery.
  • name: data.world
    why: Provides a data catalog for discovering and governing datasets.
  • name: lakeFS
    why: Offers data version control for data lake workflows.

keywords

  • scientific data management platform
  • life sciences data catalog
  • S3 data versioning
  • omics data management
  • laboratory data management AWS
  • FAIR scientific data

voice

  • technical
  • science-focused
  • outcome-oriented

signals

  • text: A biotech is expanding sequencing pipelines or accumulating instrument data in S3.
  • text: A research platform team is standardizing data provenance and governance across several groups.

stack

  • AWS S3
  • CloudFormation
  • Terraform
  • Python SDK

pricing

model: usage
starting price: Startup: $750 per bucket per month, minimum 5 buckets

motion

hybrid

channels

  • AWS Marketplace
  • open source
  • developer documentation
  • SEO
  • case studies

confidence

high

Founders

  • name: Kevin Moore
    title: Founder/CEO
    role: CEO
    bio: Kevin has a background in enterprise data processing, from processor and memory system architectures to in-memory database software and cloud architecture. Before co-founding Quilt Data, Kevin developed hardware-optimized software and scale-out in-memory database processing systems at Oracle and Sun Microsystems. Kevin earned a Ph.D. from the University of Wisconsin.

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