1. Select a use case
Document Assist Agent
HCP Persona Agent
Conversational Intelligence
Commercial Campaign Agent
Patient Support Agent
Clinical Trials Intelligence
Document Assist Agent
HCP Persona Agent
Conversational Intelligence
Commercial Campaign Agent
Patient Support Agent
Clinical Trials Intelligence
This agent helps you:
Solution Preview - Document Assist Agent
This agent helps you:
Solution Preview - HCP Persona Clusters
This agent helps you:
Solution Preview - Conversational Intelligence
This agent helps you:
Solution Preview - Campaign Simulation
This agent helps you:
Solution Preview - Patient Support Agent
This agent helps you:
Clinical Trial Intelligence
2. Unify Your Data Foundation
Lumen starts by securely connecting to your proprietary and external data sources.
Unstructured Docs
Ingests documents like clinical studies, presentations, and market research.
CRM & Structured Data
Integrates with your CRM, commercial data, and databases.
External Data Feeds
Processes external data like publications, social media, and news.
Real-World Evidence (RWE)
Connects to claims, EMR, and registry data for longitudinal analysis.
Genomic & Biomarker Data
Integrates omics data for patient stratification and discovery.
3. Our Building Blocks
Our platform provides the core intelligence and applications to build your solution.
Data Processing
Document Chunker
Breaks large documents into small, digestible chunks for AI analysis.
Embedding Generator
Converts text into a numerical format for meaning-based search.
PII Masker
Redacts patient personal identifiable information from queries and documents to ensure HIPAA compliance.
Data Harmonizer
Standardizes disparate data sources into a single, unified format.
Feature Engineering
Creates new, predictive variables from raw data to improve model accuracy.
Core Intelligence
LLM Foundation Model
Core AI engine, pre-trained on scientific data and fine-tuned on yours.
Vector Index
A pharma-context database that finds info based on medical meaning.
Knowledge Graph
Connects data points to map influence networks (e.g. KOLs to trials).
Model Fine-Tuner
Adapts foundation models for specific pharma tasks, like AE detection.
Multimodal Models
Understands and processes both text and images (e.g., charts, slides).
Analytical Engines
Clustering & Segmentation
Groups HCPs or patients into distinct personas based on behavior.
Time-Series Forecasting
Predicts future trends, such as sales, market share, or trial enrollment.
Predictive Modeling
Forecasts the likelihood of an outcome, like campaign success or patient adherence.
Simulation
Runs what-if scenarios to model the impact of strategic decisions.
Anomaly Detection
Identifies unusual patterns in data for compliance or safety monitoring.
Survival Analysis
Analyzes time-to-event data, crucial for clinical trial outcome analysis.
Agentic Layer
Agent Planner/Router
The 'brain' that decides which tool or data source is best to use.
Retrieval-QA Bot
The 'researcher' that finds and synthesizes answers from your data.
Conversational UI
The user-facing chat interface for your teams or patients.
Content Generator
Automates creating content, like emails or PowerPoint slides.
Next Best Action Engine
Provides specific, data-driven recommendations for sales and marketing.
Governance
Audit Trail
Logs all AI actions and data access for full compliance and security.
Quality Monitor
Tracks the accuracy and relevance of AI responses over time.
User Feedback Loop
Captures user feedback for continuous, human-in-the-loop improvement.
Cost & Token Meter
Monitors API usage and costs for complete budget control.
Explainability (XAI)
Provides transparency into why an AI model made a specific decision.
