Powerful
Enterprise
Data Platform
Quilt's enterprise platform provides secure, scalable data management with advanced governance, compliance features, and seamless integration capabilities for organizations of any size.
Learn More About Quilt
Get our platform overview deck and real-world case studies
Platform Features
Explore our comprehensive data management capabilities
Advanced Search & Discovery
Find exactly what you need with powerful search capabilities, intelligent filtering, and metadata-driven discovery across all your data assets.
-
Semantic & metadata searchFind the right package, file, or table with AI-assisted semantic search plus precise filters on package and object metadata. Search within buckets or across the whole catalog through UI, API, or SDK.
-
In-file content searchQuery the contents of individual files (not just filenames) to surface results hidden inside notebooks, CSVs, images, and reports—then jump straight to the source.
-
AI-ready resultsResults return as versioned packages with lineage and context, so scientists and LLMs consume the same, trusted object—no ambiguity, no drift.
Versioned Packages & Lineage
Bundle raw data, results, and metadata into Quilt Packages—reusable, verifiable units with full history. Enforce consistent context at ingest and share exact versions with permanent URIs so collaborators (and models) always load the intended data.
-
Versioned Quilt PackagesBundle raw data, results, and metadata into a single, reusable unit. Every revision is hashed and immutable, making packages verifiable and reproducible for people and AI.
-
Rich metadata & taxonomiesCapture context at ingest via CLI, plugins, or the Catalog. Enforce required facets with Workflows so packages remain consistent and queryable at scale.
-
Linkable URIsShare exact versions (or “latest”) with a permanent URI. ELNs, slides, and agents always resolve to the intended data—today or in 10 years.
Governed, Compliant Data Flow
Codify good hygiene from raw → enriched → curated with validation, required metadata, and review gates. Quilt uses AWS IAM for least-privilege access and keeps comprehensive audit trails, so you can prove who changed what—and ensure AI only sees what it should.
-
Lifecycle & policy enforcementMove packages from raw → enriched → curated with gated steps, validation, and required metadata—codifying good data hygiene without slowing teams down.
-
Fine-grained access control (AWS IAM)Use native IAM under the hood for least-privilege access by user, team, or project. What AI and humans can see is precisely what they’re allowed to see.
-
Audit trails & change historyTrack who accessed what, when—and how packages and objects changed over time. Prove lineage for regulated work and speed root-cause analysis when issues arise.
Automation, Visualization & Ecosystem
Wire Quilt into your stack with event-driven packaging, APIs/SDKs, and native AWS services (EventBridge, API Gateway). Visualize in-catalog or connect Athena → Tableau/Spotfire. Snap into Nextflow and Benchling to move data from instruments and ELNs into governed, AI-ready packages.
-
Event-driven packaging & data movementIngest from instruments, CROs, public datasets, ELNs, and pipelines (e.g., Nextflow/HealthOmics) into versioned packages within minutes—not days. Automate with EventBridge and API Gateway.
-
APIs & SDK for automationProgrammatically search, package, validate, and publish. Snap Quilt into upstream capture and downstream analytics so data products flow through your stack.
-
Visualization & Athena ecosystemPreview data in-catalog, then connect Athena to power BI tools like Tableau/Spotfire for richer dashboards—all anchored to versioned packages.
-
AI & MCP connectivityExpose governed package operations to LLMs via Model Context Protocol. Let agents assemble data, enforce workflow steps, and generate insight—backed by lineage and access controls.
