Explore by Role
Role-Specific Benefit-Risk Solutions
Every stakeholder in the benefit-risk process has unique data needs, analytical priorities, and deliverables. ArcaScience configures its dashboards, AI models, and outputs for each function.
Drug Safety & Pharmacovigilance Leaders
Automate signal detection, PSUR/PBRER generation, and safety database analysis. Shift from manual case processing to AI-driven aggregate analysis that catches signals weeks earlier.
Weeks spent compiling safety data manually → hours with automated pipelines
Regulatory Affairs Professionals
Generate submission-ready documents — CTD 2.5, RMP, responses to Health Authority queries — directly from the analytical engine. Ensure consistency across global filings.
Inconsistencies across regional submissions → unified analytical source
Clinical Operations Leaders
Integrate clinical trial safety data with real-time benefit-risk monitoring. Support DSMB briefings, interim analyses, and protocol amendment decisions with quantitative BRA.
Delayed safety reviews slowing trial decisions → real-time quantitative BRA
Market Access & HEOR Teams
Produce comparative effectiveness evidence, NNT/NNH analyses, and value dossiers for HTA bodies and payers. Translate clinical benefit-risk into economic value language.
Months building HTA submissions → automated evidence synthesis
Chief Medical Officers
Strategic oversight of the entire benefit-risk landscape. Dashboard-level visibility into signal trends, submission timelines, and competitive positioning across the portfolio.
Fragmented safety data across teams → unified portfolio-level visibility
Platform Architecture
One Platform, Every Perspective
ArcaScience provides role-specific views of the same underlying analytical engine. Every function works from a single source of truth, eliminating data silos and version conflicts.
Same Data, Different Lenses
All roles access the same curated data lake — clinical trial data, real-world evidence, regulatory intelligence, and literature. Each role gets a purpose-built view that surfaces what matters most to their function.
Explore Data Engine →Role-Based Dashboards
Configurable dashboards and output templates tailored to each stakeholder's workflow. Drug safety sees signal trends; regulatory sees submission status; CMOs see portfolio-level KPIs — all from one analytical engine.
Explore AI Models →Collaborative BRA Evidence
Cross-functional collaboration on shared benefit-risk evidence. When drug safety updates a signal assessment, regulatory sees it instantly. When market access builds a value dossier, the CMO dashboard reflects it.
Explore Outputs →