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Pharma & life sciences
Pipeline and competitive intelligence, epidemiology and market sizing, pharmacovigilance signal scouting — every signal traceable to source. A "reviewed-only" view for regulated environments.
insigz Research reads scientific literature and reports, extracts structured facts, and maps them — every claim traced back to its source sentence, confidence-scored, and labelled as AI-extracted. It runs on the same canonical model as the rest of insigz.
Evidence lives in unstructured prose — abstracts, full-text articles, regulatory filings, field reports. Finding it means keyword search and manual triage; trusting it means reading every source by hand.
insigz Research ingests a corpus, uses grounded LLM extraction to pull out structured, source-anchored facts, canonicalizes them against standard ontologies, and serves them through search, filters, and a map. Every fact links to the exact sentence it came from.
Provenance over assertion. The platform never presents a fact as ground truth — it presents "this source says X, here is the exact sentence, here is the extraction confidence." That is what makes the output defensible, auditable, and commercially trustworthy.
The same Source → Observation → Entity → Event → Case → Report model that powers the rest of insigz.
Pull literature and documents from licensed and open sources. The per-document license travels with every fact.
Grounded LLM extraction returns typed assertions with the verbatim source span. Any claim whose span can't be matched back is rejected.
Resolve every entity to a stable id (MeSH, ICD, RxNorm, UMLS, GeoNames). Locations get lat/long for the map.
Faceted search, the evidence map, per-assertion provenance, and license-gated export. A review queue promotes machine output to gold.
Life sciences is the lead case; the pipeline generalizes to any literature or report corpus.
Pipeline and competitive intelligence, epidemiology and market sizing, pharmacovigilance signal scouting — every signal traceable to source. A "reviewed-only" view for regulated environments.
Map where conditions are reported and studied; spot under-studied regions; combine with surveillance feeds — always separating attention from incidence.
Accelerate systematic reviews, quantify the evidence behind a target or thesis, and build cited evidence maps suitable for public accountability.