AI Architecture
7 purpose-built regulatory engines. One unified naming intelligence platform.
POCA Simulation
Phonetic, Orthographic, and Cognitive Analysis. Multi-dimensional similarity scoring against 15,000+ approved drug and device names across FDA, EMA, and WHO databases.
Trademark Conflict
Real-time search across USPTO, EUIPO, WIPO Madrid Protocol, and 190+ national trademark offices. Class 5, 10, and 44 priority matching.
LASA Analysis
Look-Alike Sound-Alike detection using Levenshtein distance, Soundex, Double Metaphone, and neural phonetic embeddings. ISMP safety standard compliance.
Multilingual Screening
Negative connotation, pronunciation difficulty, and cultural sensitivity analysis across 25+ languages with native-speaker validation models.
INN Stem Check
WHO INN Programme stem conflict detection. Validates against reserved stems (-mab, -nib, -tide, etc.) and identifies potential nomenclature objections.
OPDP Compliance
FDA Office of Prescription Drug Promotion guidelines analysis. Detects implied superiority, unsubstantiated efficacy claims, and misleading naming patterns.
Market Readiness
Per-market regulatory readiness scoring for FDA, EMA, CDSCO, NMPA, Anvisa, MHRA, and GCC/MENA. Flags jurisdiction-specific naming rules.
Technology Stack
Foundation Models
Custom-trained LLMs on 500K+ pharmaceutical naming decisions, regulatory filings, and rejection records.
Ensemble Architecture
7 specialized models orchestrated via a regulatory meta-engine for consensus-driven scoring.
Pipeline Processing
Parallel execution of all 7 engines with real-time progress tracking and conflict resolution.
SOC 2 Compliant
Enterprise-grade security with end-to-end encryption, audit logs, and role-based access control.
Continuous Learning
Model retraining on new regulatory decisions, rejection patterns, and approval trends quarterly.
Validation Layer
Every output cross-referenced against ground-truth regulatory databases before delivery.