Conversational AI governance for pharma
Patients and HCPs already turn to conversational AI for answers. Now pharma can join that conversation, compliantly.
Controlled knowledge base
Integrated with your system of record to ensure all conversations stay in context.
All claims quoted verbatim
All responses are cited to an approved source using Determanistic Quoting. Allowing all claims quoted verbatim.
Source traceability
Each response is traceable to its source and its approver. Built against 21 CFR Part 11 controls.
Off-label and content guardrails
Off-label, comparative and superiority claims are refused. Off-label questions pass to Medical Affairs.
Pharmacovigilance monitoring
Conversations are screened, triaged and routed to the sponsor's safety function within an agreed service level.
Fair balance-aware reponses
Safety information linked with the claim. Indication scope and ISI hold on every response.
Human in the loop protocols
Urgent symptoms, safety signals and out-of-scope questions route to a named human.
Data remains yours
Conversation data stays with the sponsor and is never used for model training.
How other models compare
See how RoseRx compares against ungoverned general-purpose models
Approved-content fidelity
Verbatim approved-language match
15-40% hallucination
Complete, accurate drug answer
Indication-scope adherence
Off-label & prohibited content
Comparative / superiority refusal
Pharmacovigilance & safety
Adverse-event / DDI detection
Product-complaint detection
Traceability & auditability
Citation to a real source
Learn more about how RoseRx uses Deterministic Quoting
Full transcript / audit capture
Escalation & handoff
Urgent-symptom escalation
Out-of-scope deflection
Audience gating
HCP verification adherence
Trust & Safety
SOC-2 Type II
Built to AI management system principles for reliable data privacy.
Model Flexibility
Runs on any frontier model. Ensuring reliability and long-term control.
Access Control & Audit Logs
Manage user roles and track activity with audit logs.
No Model Training
Client data is never used to train any underlying AI model, isolated by design.
