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.