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Purpose-Built AI for Pharma Teams Across Functions

Lynx Analytics partners with pharma and biotech
functional teams to deploy AI that drives
measurable outcomes - from smarter HCP
targeting to always-on marketing attribution.
Purpose-built for life sciences. Proven at scale.

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Demand Forecasting 

Predict product demand, brand performance, and market share with proven accuracy. Our forecasting models integrate brand tracking, competitive dynamics, and launch signals to give commercial leadership a reliable forward view. Automatically update forecasts with most recent data to predict product demand, brand performance, and market share with accuracy.

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Short- and long-range sales forecasting at territory, brand, and market level

Log Reports

Launch forecasting and scenario planning

Money insights

Market share modeling with competitive signals

Knowledge graphs

Attitude, Trial & Usage (ATU) analytics to track brand health over time

What Makes Our Demand Forecasting Different From Traditional Forecasting

Traditional forecasting relies on static regression models refreshed quarterly. Our AI engine continuously ingests real-world signals — prescribing trends, competitor launches, payer shifts— and retrains automatically. The result is a living forecast that adapts in near real-time, not one that’s already stale by the time it reaches your leadership team.

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HCP Segmentation and Targeting

Move beyond traditional segments. We build dynamic HCP personas— combining CRM, prescribing, digital behavior, and claims data — to identify who to engage, when, and how.

HCPs

AI-driven HCP segmentation using behavioral, demographic, and clinical data

Identification Recommendation

Brand Adoption Ladder positioning and Next-Best-Action recommendations (a proprietary framework mapping HCPs from awareness to advocacy)

Marketing

Omnichannel coverage optimization across field, digital, and remote

KOL Discovery

KOL and Digital Opinion Leader (DOL) identification and mapping

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What Makes Our HCP Segmentation and Targeting Different From Other Segmentation Models

Most segmentation models freeze HCPs into a decile and revisit them once a year. Our AI builds living personas — updated continuously from CRM interactions, prescribing data, and internet-scale digital signals. We also use Generative AI to produce belief statements for each persona, giving your reps a genuine understanding of how each HCP thinks, not just what they prescribe.

Read Case Study

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Marketing Mix Measurement (MMM)

Understand what’s actually driving your sales. Our marketing mix models decompose the ROI
contribution of every channel — from direct-to-patient (DTP) to digital, speaker programs to journal ads — and tell you where to reallocate for maximum impact.

Personalized Content Creator

Pharma-specific marketing mix modeling across all promotional channels

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Budget optimization and spend reallocation simulations

Growth prediction

Speaker program and congress ROI measurement

LLM-Based Extraction

Continuous, model-driven insights — not one-time studies

What Makes Our MMM Different From Traditional MMM

Traditional MMM projects are expensive, slow, and delivered as a static report that’s outdated within months. We build an always-on AI model that continuously attributes revenue to each channel as new spend and sales data flows in. Pair that with our simulation engine and your brand team can run “what-if” budget scenarios in minutes — without waiting for the next quarterly consultant update.

Read Case Study

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Compliance and Aggregate Spend Analytics

Built for commercial teams, validated by compliance. Move from manual spot-checks to AI-driven, proactive compliance monitoring across HCP interactions and financial transactions.

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Anomaly detection on aggregate spend, claims, and interaction data

Opaque results

Explainable AI to justify flagged activities to compliance teams

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Risk scoring models for transfer-of-value monitoring

Dashboard

Automated audit trails and compliance dashboards

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What Makes Our Compliance and Aggregate Spend Analytics Different

Compliance teams typically review only a fraction of transactions manually - the rest go unchecked. Our anomaly detection models scan 100% of your aggregate spend and interaction data continuously, surfacing only the highest-risk activities for human review. Critically, every flag includes an explainability layer: the model tells your team exactly why it flagged something, so they can act with confidence rather than second-guess the AI.

Read Case Study

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Finance and Operational Analytics

Connect commercial performance to financial outcomes. We help finance and BI teams build models that link brand metrics, field force costs, and patient volumes to revenue and profitability.

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P&L drivers and revenue attribution by brand, channel, and region

360-Degree Customer View

Gross-to-net analytics and contract performance modeling

Productivity

Field force sizing, deployment, and productivity analytics

Spending

Automated financial reporting and BI dashboards

What Makes Our Finance and Operational Analytics Different

Most finance teams in pharma still rely on Excel-heavy processes and manual reporting cycles. We replace that with an AI layer that automatically consolidates data across ERP, CRM, and commercial databases, runs revenue attribution in real time, and surfaces anomalies before the month closes. Leaders get answers to “why did we miss plan?” in hours — not after the next budget review. 

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HR and Talent Analytics

Apply the same analytical rigor to your people strategy. We help life sciences HR and talent teams identify engagement risks, improve retention, and make evidence-based decisions.

Reviews

Employee feedback clustering and sentiment analysis at scale

Risk

Attrition prediction and early-warning models for flight-risk reps

Analytics

Field force engagement and performance analytics

Attendee locations

Workforce planning models aligned to commercial strategy

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What Makes Our HR and Talent Analytics Different

HR surveys generate thousands of open-ended responses that teams rarely have time to properly analyze. Our NLP models read every comment, cluster them into actionable themes, and flag early signals of disengagement or attrition risk — weeks before they show up in exit interviews. For field force specifically, we cross-reference engagement signals with performance data to give commercial leaders a complete picture of team health.

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Social Listening for Brand Intelligence

Understand how your brand, competitors, and disease area are perceived — in real time —across the channels where HCPs and patients actually talk. We turn unstructured online conversation into structured brand intelligence that directly informs your planning cycle.

Doctor’s Office

Real-time monitoring of HCP and patient conversations across social media, forums, and medical communities

Social Engagement

Brand sentiment tracking and competitive share-of-voice analysis

Report analytics

Disease area trend detection to surface unmet needs and emerging patient concerns

Fast growth

Launch readiness and post-launch perception monitoring

Dynamic Engagement

Integration of social insights into brand planning and messaging strategy

What Makes Our Social Listening and Sentiment Analysis for Brand Planning Different 

Most brand teams rely on periodic market research studies to understand perception — expensive, slow, and a snapshot in time. Our AI continuously monitors internet-scale data across platforms like X, LinkedIn, Reddit, Doximity, Medscape, and patient forums applying pharma-trained NLP (models fine-tuned on clinical and commercial language to filter noise from signal). You get a live pulse on brand sentiment, competitor messaging shifts, and patient unmet needs — insight that used to take months of research available within your planning cycle, not after it.

 

 

Introducing LynxLumen:

Your Agentic Co-Pilot for Pharma

The LynxLumen platform provides the blueprint to create specialized AI agents that work alongside your teams. Simply connect your data, and our platform provides the core intelligence and application-building blocks to assemble a solution. These are not just chatbots; they are bespoke systems designed to automate complex tasks, analyze data, and provide strategic recommendations within your existing workflows.
 
Use the section below to explore the data foundation and building blocks that we assemble to support specific agents. Start by selecting an agent and then see the different components that are put together in order to support that agent functionality
1. Select a Use Case
Explore Our Agent Blueprints
Select Value
Document Generator and Assistant Agent
HCP Persona Agent
Enterprise Knowledge Assistant
Commercial Campaign Agent
Patient Support Agent
Clinical Trials Intelligence
Document Generator and Assistant Agent
HCP Persona Agent
Enterprise Knowledge Assistant
Commercial Campaign Agent
Patient Support Agent
Clinical Trials Intelligence
This agent helps you:
  • Distill lengthy clinical reports or market research into key takeaways.
  • Extract specific information using natural language questions.
  • Generate executive summaries or abstracts in seconds.
Solution Preview - Document Assist Agent
Document Assist - 1
This agent helps you:
  • Generate dynamic HCP personas from CRM and external data to identify each HCP’s current rung.
  • Receive AI-powered Next-Best-Action recommendations designed to advance HCPs to the next rung on the Brand Adoption Ladder.
  • Create hyper-personalized engagement strategies that reinforce trial, drive adoption, and build advocacy across the Brand Adoption Ladder.
Solution Preview - HCP Persona Clusters
This agent helps you:
  • Ask natural language questions to your structured and unstructured data.
  • Uncover drivers behind forecast shifts and market performance.
  • Integrate with Excel, PPTs, and internal databases for a holistic view.
Solution Preview - Enterprise Knowledge Assistant
This commercial campaign agent helps you:
  • Draft persona-targeted marketing materials like emails and talking points.
  • Forecast campaign ROI and simulate outcomes of different budget allocations.
  • Generate slide decks to communicate campaign strategy and results.
Solution Preview - Campaign Simulation
This patient support agent helps you:
  • Provide instant, 24/7 answers from an approved knowledge base.
  • Ensure all interactions are compliant, empathetic, and medically sound.
  • Analyze patient queries to identify trends and improve support materials.
Solution Preview - Patient Support Agent
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This agent helps you:
  • Protocol Design: Optimizes trial criteria to boost success.
  • Site Selection: Identifies top-tier investigators and locations.
  • Enrollment Tracking: Predicts and manages recruitment timelines.
  • Auto-Summarization: Converts complex clinical docs into brief reports.
Clinical Trial Intelligence
2. Unify Your Data Foundation
Lynxlumen 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 Management
Smart Crawler
Performs targeted, recursive web scraping to collect and organize external data.
Parsers & Chunkers
Extracts structured information and segments documents into digestible pieces for AI.
Privacy (PII) Masker
Redacts sensitive personal information to ensure data security and regulatory compliance.
Data Harmonizer
Versions sources and resolves discrepancies to maintain a unified, reliable truth.
Knowledge Graph
Maps complex relationships across datasets to provide deep contextual intelligence.
Feature Engineering
Creates new, predictive variables from raw data to improve model accuracy.
Core Intelligence
Pharma Embeddings
Generates high-dimensional vectors optimized for healthcare, supporting multi-modal meaning-based search.
Vector Index
A pharma-context database that finds info based on medical meaning.
Foundation Models (LLM)
Sources, trains, and deploys optimal models, ranging from open-source architectures to custom-built proprietary engines using your datasets
LLM Fine-Tuner
Specializes models for nuanced pharma workflows, such as Adverse Event (AE) detection or regulatory drafting.
Trainable RAG-Graph Engine
Synthesizes answers to complex queries by merging Retrieval-Augmented Generation with Graph AI logic.
Multimodal Creative Engine
Processes and generates diverse content types, transforming complex data into medical charts, slides, or marketing assets.
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.
Graph AI & Network Analysis
Identifies Key Opinion Leaders (KOLs) and maps influence networks to uncover hidden market drivers.
Next Best Action Engine
Provides specific, data-driven recommendations for commercial teams.
Agentic Orchestration
Agents with Memory
The cognitive core that plans tasks, selects tools, and maintains contextual memory across multi-step workflows (Re-Act).
Omnichannel Chat API
A flexible backend that connects agentic intelligence to any interface, from dashboards to patient-facing apps.
MCP Integrations & Studio
A modular framework to connect existing tools or build custom automations via a visual "box and arrows" interface (LynxKite 2000:MM).
Embedded Action Engines
Integrates agentic logic directly into pharma workflows to automate content generation or recommend Next Best Actions.
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.
AI Guardrails
Integrates real-time safety layers to prevent prompt injections, hallucinations, and unauthorized data leakage.
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.

Our Clients in Pharma & Life Sciences

genentech
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amgen
novo-nordisk
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