Accelerate the discovery and development of new drugs using AI
Harness cutting-edge AI, Generative AI, and graph analytics to shorten timelines, reduce costs, and improve decision-making across the R&D pipeline.

In drug discovery and clinical development, every day counts. AI can help you move from data to decision faster—whether you’re predicting the shape of a target protein, designing novel molecules, checking for IP conflicts, or selecting the right participants for clinical trials. Lynx Analytics combines advanced AI modeling with deep domain expertise to help Life Sciences R&D teams bring new therapies to patients sooner.
Build 3D models for target proteins
Predict the structure and function of potential drug targets faster and more accurately.
Leverage AI-powered protein folding prediction to reduce lab time

Generate and screen possible drug compounds
Rapidly explore vast chemical spaces to find the most promising candidates.
Use Generative AI to design novel molecules that fit your target profile
Simulate binding affinity and pharmacokinetics before synthesis
Prioritize compounds with the highest likelihood of success for wet lab testing

Assess drug viability and mechanisms
De-risk candidates early by predicting their biological behavior and impact.
Forecast a drug's journey through the body by modeling ADME (Absorption, Distribution, Metabolism, and Excretion) properties
Build BioKnowledge Graphs to map the complex pathways connecting genes, proteins, and diseases.
Uncover the mechanisms behind side effects and identify new opportunities for treatment



Mine biomedical literature for
hidden insights
Turn the constant stream of scientific publications into a strategic advantage.
Automatically extract relationships between genes, diseases, biomarkers, and therapeutic approaches

Check for freedom to operate (FT0)
Mitigate risk by identifying potential IP conflicts early.
Screen against global patent databases using AI-driven semantic search
