Provides a data collaboration platform that integrates with Amazon S3 to create visual, versioned, and verifiable data packages. This enables teams to treat data as reusable assets, streamlining workflows and improving consistency across data pipelines, storage, and analysis.
Funding
$4.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
DVVFounders
Product
Problem
Life science R&D teams face challenges in managing and collaborating on large, heterogeneous datasets generated from lab instruments, electronic lab notebooks (ELNs), and various analytics tools. Data silos, lack of version control, and inconsistent metadata hinder reproducibility, slow down research, and increase IT overhead.
Solution
Quilt provides an AWS-native data management platform that enables life science organizations to treat data as reusable assets. The platform integrates with Amazon S3 to create visual, versioned, and verifiable data packages, fostering seamless collaboration between people, pipelines, and machines. By connecting data across lab instruments, ELNs, and analytics tools, Quilt eliminates data silos and ensures scientific integrity. The platform offers AI-powered search, advanced metadata tagging, and embedded compliance features, accelerating discoveries and reducing IT burdens.
Target Audience
Quilt is designed for R&D IT teams and scientific teams in life science organizations, including computational biologists and researchers in connected labs.
Features
- AWS-native deployment using Infrastructure as Code (CloudFormation or Terraform)
- Governance built on IAM & SSO
- AI-powered search for structured and unstructured data
- Advanced metadata tagging and indexing
- Automatic version tracking with lineage insights and rollback capabilities
- Native visualizations for common life science file formats
- Fine-grained access controls and audit logs for secure collaboration
- FAIR-compliant (Findable, Accessible, Interoperable, and Reusable)
- Supports HIPAA, GDPR, and other regulatory standards