Quilt is a Scientific Data Management Platform on AWS that helps teams and AI find, trust, and reuse data through deeply versioned, context-rich data packages.

Most scientific organizations don’t struggle to generate data; they struggle to keep it usable over time. As teams, tools, and workflows evolve, context gets lost. Scientists can’t find what they need, data teams get pulled into manual support, and AI projects slow down because data lacks structure, lineage, and trust.

Quilt solves this by turning cloud data into durable, searchable, reusable packages. Each package captures the data plus the metadata, documentation, lineage, and version history needed to understand and confidently reuse it. Instead of rebuilding context from scratch, teams work from a shared, governed foundation.

Built on AWS, Quilt works with data in place, so organizations can improve data management without forcing disruptive migrations or rigid workflows. Data stays where it is; Quilt adds the context and control layer that makes it useful across programs and over time.

Quilt is designed for both people and AI systems. Scientists and data teams can self-serve trusted data faster. AI workflows can query well-described packages with the context needed for grounded outputs. The result is less manual prep, faster analysis, and better decisions.

Governance is built in: robust access controls, auditability, and compliance-oriented workflows help organizations scale securely without sacrificing flexibility.

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Quilt.bio

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