Leveraging the Amass Platform for Life Sciences Research

Life science R&D requires reasoning across a complex landscape of internal and external scientific evidence. The Amass platform is an intelligence layer designed to support this process. In this video, Amass Co-Founder Alexander Junge demonstrates how the platform enables life science professionals to maintain expert control over their research workflows.

The demonstration covers key capabilities, including how to:

• Integrate Private Data: Upload internal documents to create curated, private datasets for analysis.
• Query with Context: Run tasks against specific data sources to receive answers grounded in selected evidence.
• Ensure Traceability: Follow citations and direct quotes back to the source documents to verify the basis of an answer.
• Expand Research: Augment analysis by incorporating external data sources, such as PubMed, with fine-grained user controls

This video explains the mechanisms Amass provides for structuring research, preserving context, and supporting evidence-based decisions. It is intended for scientists, R&D leaders, and other professionals seeking to understand how to apply our platform to their work.