Frequently asked questions

Quilt is a data platform built for science that runs directly in your AWS environment. It helps teams organize, version, search, and share data — using code, APIs, or an intuitive visual interface — so scientists can focus on discovery instead of data wrangling.

Scientific data is often scattered across systems, with metadata trapped in spreadsheets and results buried in presentations. Quilt solves this by packaging raw data, results, and metadata into secure, version-controlled Quilt Packages — a single, reusable unit that can be searched, shared, and trusted across wet labs, dry labs, and AI workflows.

A Quilt Package is a versioned collection of data and metadata stored in S3. Each package includes:Files (raw, processed, or results)Metadata (JSON, tabular, or structured)Version history and lineageThis creates a single source of truth that supports reproducibility, governance, and AI readiness.

No. Quilt runs in your own AWS account and works with your existing S3 buckets. You retain full control of your data, security policies, and costs.

Yes. Quilt integrates with tools scientists already use — including Benchling, Nextflow, RStudio, Tableau, and Power BI — as well as AWS-native services like Athena, Glue, and HealthOmics. You can also access Quilt via SDKs, APIs, and SQL.

Absolutely. Quilt’s version control, metadata workflows, and lineage tracking ensure that data is trustworthy and reproducible — a critical requirement for generative AI and machine learning. Our MCP (Model-Callable Plugin) server allows LLMs and AI agents to query data directly and safely.

Quilt inherits your AWS security model and supports encryption (KMS), fine-grained access controls, audit logging (CloudTrail), and SSO/IDP federation (e.g., Entra). This makes it suitable for regulated industries, including biotech and pharma.