Navigate The AI Revolution With Confidence
We blend industry knowledge and technology expertise to enable ethical AI utilization

Transform Pharma with Generative AI
At Lynx Analytics, we accelerate the adoption of generative AI for pharma and life sciences. Our goal is to help organizations seamlessly integrate AI into existing systems, empowering them to drive meaningful business outcomes. With deep expertise in life sciences and artificial intelligence, we enable pharma companies to harness the full potential of their data, making smarter, faster decisions that enhance customer engagement and operational efficiency.

Our Edge
We simplify complex problems with cutting-edge technology. By combining Graph AI with Retrieval Augmented Generation (RAG), we pioneer innovative solutions like Graph RAG. This unique approach integrates Graph AI and Large Language Models (LLMs), empowering our generative AI solutions to comprehend context, infer relationships, and deliver responses that are highly relevant and contextually accurate. Additionally, our patented methodologies create robust simulation and optimization environments that drive impactful decision-making.

Our Clients
















Our Expertise
Lynx Analytics develops AI solutions that empower MSL, Marketing, and Sales teams:
KOL Management
Automatically create rankings based on internal and external data and bring into focus those physicians, researchers, and academics that can
have the most influence for any given drug or therapy area.
Gen AI Segmentation with Internet-Scale Data/External Data
Adapt to the latest data for precise customer segmentation.
Marketing Mix Optimization
AI-driven recommendations on marketing spend allocation per channel.
Rep Activity Guidance & Next Best Action
Direct reps on next steps to optimize engagement and boost sales.
Prescription Barrier Identification & Content Recommendation
Flag obstacles to prescriptions and suggest personalized content to overcome these barriers.
360-Degree Customer View
Unify data from multiple sources for a complete, real-time view of healthcare providers (HCPs).
What-If Scenarios
Use simulations to explore campaign ROI predictions on a per-channel basis.
Improve Clinical Trials and R&D
Optimize clinical trial based on endpoints & participants. Improve bench research & refine criteria while ensuring safety.
Our Technology Partners

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Problem Solving Across Industries
Life Sciences
Learn how you can leverage big data and AI to improve your medical and commercial results with our solutions for the life sciences and healthcare vertical.
Telecoms
Predict customer data, manage churn, plan and optimize your network and drive engagement to your app with our solutions.
Retail
Leverage on our retail solutions for assortment optimization, demand forecasting, gaining deep customer insights and more.
Banking
Increase customer acquisition and customer retention across online and offline channels with our banking solutions.
Highlights

Creating Personas Using Internet-Scale Data
In light of the technological transformation that has happened over the past couple of years with the onset of Large Language Models (LLMs), this paper highlights a modern approach to the HCP segmentation to highlight the concepts of beliefs, barriers and the confluence of these to optimize engagement strategies.

Reuters Pharma USA 2025

LynxKite 2000:MM unveiled at GTC
At GTC 2025, our CEO Gyorgy Lajtai and Chief Software Architect Daniel Darabos took the stage to showcase how LynxKite 2000:MM is revolutionizing industries like pharmaceuticals by enabling insights in drug discovery, molecular interactions, and personalized medicine. With NVIDIA BioNeMo, RDKit, and Graph Neural Networks, we’re empowering researchers to accelerate hypothesis generation and enhance decision-making in biomedical research.

Meeting of the minds at ATxInspire
Jensen Huang, CEO of NVIDIA, was discussing with Gyorgy Lajtai, CEO of Lynx Analytics, about the barrier that exists between “Fast Thinking” and Reasoning (aka “Slow Thinking”). A barrier Lynx Analytics is directly addressing and that Jensen considers to be the next breakthrough in AI.
Knowledge Center
Explore our vast collection of resources.