Who we help

Structured patent evidence for pharma and chemistry teams.

Jubust turns selected pharmaceutical and chemical patents into human-reviewed compounds, activity values, experimental context, and exact source locations for R&D and intelligence decisions.

Medicinal chemistryScientific competitive intelligencePatent intelligence

At a glance

A strong Jubust project

Jubust today
Scope
One bounded scientific question
Input
10–50 selected patent PDFs
Output
Human-reviewed SAR dataset
Verification
Each value links to its patent page
Delivery
Reviewed CSV/XLSX

Real product output

See what you receive.

One compound record from our public KRAS patent example—not a mockup. The delivered dataset connects structure, reported activity, source location, review state, and export-ready fields.

Reviewed evidence record

Example 3

Human-reviewed before delivery
Example 3 chemical structure from WO2023018699
Compound
Example 3
Reported activity
8 nM KRAS (G12D) IC₅₀
Assay context
Table 1 Inhibition of RAS-RAF Binding (in vitro)
Delivery
CSV / XLSX with source-linked fields

What teams receive

Reviewed SAR data that fits the current analysis workflow.

See the delivered record, field-level links, and project scope behind each claim.

A reviewed SAR dataset, delivered.

Move selected patent PDFs out of manual spreadsheet reconstruction and into a structured, human-reviewed dataset.

Proof: the public KRAS record connects a compound structure and reviewed activity values to their patent pages.

Every value is click-verifiable.

Open the exact patent page behind each delivered compound structure and activity value.

Proof: the public KRAS example links its 8 nM result to page 126.

Per-project delivery.

Fit a bounded pilot into your existing analysis workflow without migrating platforms or buying seat licenses.

Proof: reviewed CSV/XLSX joins the tools your team already uses.

Teams we help

Built for the scientists who need to inspect the evidence.

The workflow is most valuable when patent review feeds a target, competitor, portfolio, or experimental decision.

Medicinal chemistry

Heads of medicinal chemistry

Rebuild the compound and activity picture around a target or series. Compare the molecules competitors made, the assays they ran, and the values they reported.

Useful for target reviews, lead-series decisions, and experimental prioritization.

Scientific intelligence

Scientific competitive intelligence

Separate what competitors claimed from what they showed by comparing exemplified compounds, assays, and reported results across selected filings.

Useful for competitor updates, portfolio reviews, and diligence.

Patent intelligence

Patent and R&D intelligence teams

Turn selected chemistry-heavy filings into records of compounds, activity, assay context, tables, examples, and exact patent pages.

Useful when the current workflow depends on spreadsheets and repeated PDF review.

Is Jubust a fit?

Match Jubust to the scientific reconstruction job.

These boundaries help you decide quickly whether to request a sample dataset or choose a different primary tool.

Strong fit

  • Your team already has a target, competitor set, or patent slice worth investigating.
  • You need structured compounds, bioactivity, assay context, and exact source citations.
  • The answer must survive review by a scientist, not only read well in a summary.
  • You want CSV/XLSX output that can join an existing analysis workflow.

Better served elsewhere

  • Exhaustive prior-art search, freedom-to-operate analysis, or legal opinion.
  • Universe-scale patent monitoring without a selected document or target scope.
  • Large-molecule or biologics extraction as the primary workflow today.
  • A generic document chatbot where source reconstruction and structured output do not matter.

Before a pilot

Scope, delivery, verification, and confidentiality.

The practical questions scientific teams need answered before sending a representative patent set.

Bring 10–50 selected patent PDFs.

We can return a sample SAR dataset and decide together whether the workflow deserves a broader pilot.

Request a sample dataset