Pharmacovigilance and safety
Reading every adverse event, not the ones with time to spare

Pharmacovigilance teams still intake adverse events, code them to MedDRA, and read free text narratives for safety signals largely by hand. A signal buried in an unstructured report can take as long to find as the report took to write.

AI reads at the volume the mandate requires. Document AI extracts adverse events from intake forms and free text narratives. Predictive models code to MedDRA with a confidence score attached, and flag the signal a narrative is carrying before a person searches for it. Generative AI drafts the regulatory submission a reviewer signs off on. A medical reviewer still signs every case, running on infrastructure you control.

4 use cases

Biomedical literature and knowledge graph synthesisAI biomedical literature synthesis reads publications and your internal reports, maps the genes, targets and findings they describe, and answers your scientists' questions with a citation for every statement.Classifying patient-reported drug reviewsAI reads what patients write about a drug in reviews and sorts each one as effective, ineffective or adverse, routing every possible adverse mention to a person for review.

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Pharmacovigilance and safetyReading every adverse event, not the ones with time to spare

One platform. Complete sovereignty. Measurable results.

Pharmacovigilance and safety
Reading every adverse event, not the ones with time to spare