Competitive intelligence in life sciences is increasingly driven by fast-moving regulatory decisions (approvals, label changes, safety communications) and the underlying clinical evidence that supports them.
Teams need to quickly retrieve and screen competitor approvals by indication or molecule, extract what truly matters (endpoints, populations, comparators, safety language), and translate it into actionable strategy.
Because insights must be grounded and comparable to your existing evidence packs, manual workflows become slow, inconsistent, and hard to scale across therapeutic areas.
10× faster landscape reviews
Move from ad-hoc searches to structured, indication-level competitor reviews by automating retrieval, screening, and insight extraction from regulatory decisions.
2× broader competitor coverage
Scale monitoring across more indications and molecules without adding headcount by applying standardized curation and extraction logic.
Defensible, comparable insights
Ground every comparison in source-linked regulatory evidence and your existing packs to reduce debate, speed alignment, and improve strategic decisions.
How it works
1
Retrieve competitor regulatory decisions - query FDA (and other authorities if relevant) by indication, molecule, or competitor to collect approvals, labels, reviews, and supporting documents into a structured corpus.
2
Screen and curate the most relevant set - apply inclusion criteria (population, line of therapy, comparator, endpoints, geography, date) to build a focused, decision-ready collection.
3
Extract key insights and decision drivers - capture structured fields (trial design, endpoints, effect sizes, safety language, subgroups, limitations) and the rationale behind approval decisions, with source-linked traceability.
4
Compare against your evidence packs - confront competitor decisions with your internal evidence base to highlight gaps, differentiators, and positioning options; generate a concise insight brief using your templates.
Regulatory-decision intelligence (not just papers): systematic capture of approvals, labels, and review rationales, structured for comparison.
Evidence-pack confrontation: compare competitor claims and decision drivers to your internal evidence packs to surface gaps and differentiators faster.