The challenge

Scientific information is fragmented. Insight shouldn't be.

Relevant facts often live across disconnected databases, formats, identifiers, and scientific domains. ChemQuery is designed to connect curated information with natural-language exploration.

Applications

Questions that cross scientific boundaries.

Patent & IP intelligence

Investigate claims, assignees, inventors, legal status, CPC classification, and IP portfolios.

Bioactivity & targets

Connect compounds to assays, measured activity, targets, and gene identifiers.

Clinical development

Explore compounds, trial identifiers, phases, indications, and sponsors.

Consumer products

Investigate product ingredients and their links to available chemical and regulatory information.

Molecular attributes

Compare descriptors, properties, drug-likeness, structural alerts, and scaffolds.

Commercial & healthcare data

Explore Medicare spending, manufacturers, generic drugs, and related public-program datasets.

Many sourcesPatents · chemical dataBiology · trials · safetyCurate & linkNormalize structuresIdentifiers · relationshipsAsk ChemQueryNatural-language accessto structured queriesExplore evidenceReview linked recordsFilter · export · analyze
Connected information

Across data silos

Link chemical structures, patent disclosures, biological measurements, clinical records, and other scientific evidence.

Grounded analysis

Beyond generic answers

Use an LLM to formulate structured queries against curated datasets, then inspect the records behind the results.

Practical outputs

Ready for research

Filter, review, export, and continue analyzing results using familiar scientific tools and workflows.