Catch every critical research signal
The complete picture lives in five databases. One query returns papers, preprints, patents, clinical trials, and bioactive compounds, synthesized in context rather than handed back as raw exports. See the targets that already failed in trials, and surface overlooked opportunities faster.
“Give me the complete landscape for EGFR inhibition in lung cancer - literature, active trials, known actives, and IP.”
How it works
Name the target or topic
Type a gene, disease, mechanism, or compound. The engine fans out across five sources at once, Pinecone semantic search for papers and patents, live APIs for bioRxiv, ChEMBL, and ClinicalTrials.gov.
Contradictions, gaps, and opportunities, surfaced automatically
Your AI identifies conflicting findings, missing evidence, crowded IP landscapes, and overlooked targets across all five sources. One synthesis to act on, in place of five export files to reconcile.
Seed compounds identified
ChEMBL hits with known activity against your target surface as starting scaffolds for lead optimization, with IC50/EC50 data and assay metadata.
Proof
Pinecone semantic search with text-embedding-3-large (3072 dimensions). 14,398 curated drug discovery papers. 2,416 USPTO pharmaceutical patents.
Live API queries to bioRxiv/medRxiv (250K+ preprints), ChEMBL (2.4M bioactive compounds), and ClinicalTrials.gov (500K+ trials).
Five tools: search_literature, search_biorxiv, search_chembl, search_patents, search_clinical_trials.
Use this when you need to
See which targets already failed in trials before you pursue one
Assess the IP landscape before committing to a scaffold
Find starting compounds with known activity data
Identify the gaps in existing research, alongside what exists
Point the campaign in the right direction from the start
Five databases. One query. One synthesis. Sign up and see the full picture.