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Enterprise Platform

Powerful
Enterprise
Data Platform

Scale your data operations with confidence

Quilt's enterprise platform provides secure, scalable data management with advanced governance, compliance features, and seamless integration capabilities for organizations of any size.

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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 search

Find 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 search

Query 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 results

Results 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 Packages

Bundle 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 & taxonomies

Capture context at ingest via CLI, plugins, or the Catalog. Enforce required facets with Workflows so packages remain consistent and queryable at scale.
Linkable URIs

Share 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 enforcement

Move 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 history

Track 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 movement

Ingest 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 automation

Programmatically search, package, validate, and publish. Snap Quilt into upstream capture and downstream analytics so data products flow through your stack.
Visualization & Athena ecosystem

Preview data in-catalog, then connect Athena to power BI tools like Tableau/Spotfire for richer dashboards—all anchored to versioned packages.
AI & MCP connectivity

Expose 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.

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QUILT IS AN ADVANCED AWS TECHNOLOGY PARTNER

Quilt Data is an AWS Advanced Technology Partner. Quilt brings seamless collaboration to Amazon S3 by connecting people, pipelines, and machines using visual, verifiable, versioned data packages. Amazon Web Services provides secure, cost-effective, and scalable big data services that can help you build a Data Lake to collect, store, and analyze massive volumes of heterogeneous data.

Enterprise Installation Process

Our streamlined installation process gets your team up and running with Quilt in your AWS environment quickly and securely.

1

Complete Installation Form

5 minutes

Complete Installation Form

Fill out our installation form with your company info, AWS account details, and deployment preferences. We'll capture your technical requirements and SSO preferences.

2

AWS Marketplace Private Offer

24 hours

AWS Marketplace Private Offer

Receive a customized marketplace private offer with pricing based on your requirements, contract terms, and direct AWS billing integration.

3

Infrastructure Deployment

48 hours

Infrastructure Deployment

Get your customized CloudFormation or Terraform template with all necessary AWS resources and configurations ready for deployment.

4

Support & Assistance

Ongoing

Support & Assistance

Get ongoing support through our dedicated channels including technical assistance during deployment and post-deployment configuration help.