Amass Connector

The biomedical intelligence layer for AI

Search and reason across 60M+ cross-linked life science records — including peer-reviewed publications, clinical trials, drugs, genes, regulatory approvals, and patents — from a single connector.

Instead of searching individual databases, Amass gives Claude access to a unified biomedical knowledge layer where entities are linked across sources, enabling richer retrieval, evidence synthesis, and scientific reasoning with full source attribution.

## What you can do

Use Amass to power workflows such as:

• Scientific literature reviews
• Drug and target discovery
• Clinical trial landscape analysis
• Regulatory intelligence (FDA & EMA)
• Drug approval and label comparison
• Patent landscape and freedom-to-operate research
• Gene, target and biomarker exploration
• Due diligence and competitive intelligence
• AI agents that require grounded biomedical evidence

## Included *Cores

BioMedCore 40M+ peer-reviewed publications from PubMed and PubMed Central, including 3.6M+ with full text and 29M+ with abstracts.

TrialCore 1.2M+ clinical trials from ClinicalTrials.gov and international registries (ChiCTR, CTRI, EU-CTR, JPRN, IRCT, and more), linked to drugs, diseases, publications and regulatory outcomes.

DrugCore 22K+ harmonized drugs and molecules — including 5,200+ approved — with modality, mechanism of action, targets, development stage, synonyms, structures and ChEMBL relationships.

RegulatoryCore 7K+ FDA and EMA approvals, backed by 466K+ parsed document sections — labels, SmPCs, EPARs, review documents and regulatory history.

GeneCore 42K+ human genes enriched with target intelligence, druggability, clinical evidence, tractability, DepMap essentiality, safety liabilities and cross-links to drugs, trials and publications.

PatentCore *(Preview)* 16M+ life science patents with full-text search, CPC/IPC classifications, patent families, assignees, inventors and chemical compounds.