Pilot program open for pharma & chemical R&D teamsRequest access

Turn patent PDFs into trusted compound-bioactivity data.

Jubust helps research leads, patent intelligence teams, and cheminformatics groups automatically extract structured data from pharmaceutical patents, with every datapoint traceable to its exact source location.

From patent PDF to decision-ready data, with full traceability.

Jubust combines vision AI, table extraction, and chemical language models into an integrated pipeline that doesn't just extract data — it proves where every datapoint came from.

See how it works

Deterministic Traceability

Every extracted datapoint — molecular structure, activity value, unit, assay context — is linked to its exact page and bounding box in the source PDF.

Multimodal Structure-Assay Linking

Integrates chemical drawing recognition, multi-page table extraction, and language context to resolve cross-references across entire patent documents.

Self-Reinforcing Quality

Confidence scoring routes uncertain cases to human review. Chemistry-aware guardrails check valence and unit consistency. Reviewed labels feed back into retraining.

Built for pilot teams and enterprise scale

Patent intelligence for R&D, IP, and data platform teams.

Over 3.5 million patent applications are filed globally every year. In pharma, these patents contain critical compound-bioactivity data that could accelerate drug discovery — but over 90% of it remains locked in unstructured PDFs. Jubust is changing that.

3.5M+

Patent applications filed globally per year — an ever-growing data backlog.

~90%

Potential reduction in manual extraction effort vs. spreadsheet-based workflows.

Nobody became a medicinal chemist to spend their days scrolling through 200-page patent PDFs, copying compound structures into spreadsheets. We built Jubust so you never have to again.