Quilt today launched Qurator Omni, a groundbreaking AI assistant integrated into its life sciences data platform. Powered by Amazon Bedrock and Claude models, Qurator Omni allows users to ask natural language questions and get actionable insights directly from their datasets, transforming how researchers and decision-makers interact with scientific data.
With Qurator Omni, users can bypass complex interfaces and technical queries, accessing data more easily than ever before. “Our goal is to eliminate friction in exploring large, complex datasets,” said Kevin Moore, CEO of Quilt. “By embedding AI directly into the Quilt platform, we enable researchers to ask sophisticated questions and get precise answers quickly, whether it’s melanoma research or BRCA1 findings.”
Key Features of Qurator Omni:
- Natural Language Queries: Ask complex questions like “What are the latest asthma treatments?” or “Summarize research on BRCA1 mutations.”
- Instant Summaries: Quickly digest scientific papers, datasets, or reports without reading everything.
- Fine-Grained Permissions with RAG: Query only the data you’re authorized to access, ensuring compliance with strict organizational policies
- Secure Cloud Environment: Work within your private AWS cloud, ensuring data stays secure while using state-of-the-art AI models.
Unlike public AI services, Qurator Omni operates securely within your own cloud, offering access to both private datasets and public repositories like Amazon’s Registry of Open Data—all without compromising data privacy.
“Qurator solves the three hardest problems enterprises face when adopting AI: governance for sensitive data, integration with existing data stores, and retrieval-augmented generation (RAG). That means our customers can use AI on day one instead of taking months to build and test their own in-house solutions,” said Aneesh Karve, Quilt’s CTO.
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