platoseedQuilt manages data like code so that companies can experiment faster
We realized that S3 is kind of like "git for data" and have created services that make S3 function as a data hub for teams. Quilt consists of a Python Client, a web catalog for browsing and visualizing S3, and a CloudFormation backend for compute and identity management.
Quilt Data is an AWS-native data management platform for life sciences that aims to make biology data AI-ready through versioned, governed assets housed in AWS. It emphasizes integration with S3, data packaging, and AI-enabled search to accelerate research while maintaining compliance.
The Quilt platform deploys in customers' AWS accounts (IaC via CloudFormation or Terraform) and consolidates raw files, results, and metadata into versioned, searchable data packages. It automatically ingests and structures data from lab tools via APIs and integrations, provides AI-powered search, enables quick data access, and offers comprehensive version history, lineage, and audit trails to ensure reproducibility and compliance. It sits alongside existing systems (e.g., Benchling, S3) and does not require moving data out of customers’ AWS environments; instead it augments data in S3 by turning it into reusable, governance-enabled assets.
Who it’s for: life sciences research and development teams, including biotechs, pharma companies, and academic/research institutions that manage large, heterogeneous biology data on AWS
Customers: Inari, Tessera, Resilience, Syngenta, Entact Bio, Cellarity, Incyte Pharmaceuticals, Allen Institute for Cell Science, Xaira Therapeutics, Harbinger Health
Partnership and customer use cases highlighted (AWS Advanced Technology Partner, multiple named customers and case studies), ongoing focus on case studies and platform exploration; mentions of deployments and integrations indicating active traction and product maturity
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.

The only R&D data cloud for life sciences
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