AI-powered breakthroughs in drug discovery, precision medicine & diagnostics.
We accelerate healthcare innovation through state-of-the-art AI technologies. From drug discovery to disease diagnostics, our machine learning models analyze molecular, genetic, and clinical data to deliver more accurate, faster, and cost-effective biomedical solutions.
Challenges
Drug discovery is slow, costly, and failure-prone
Diagnostic models often lack generalizability and interpretability
Scarcity of high-quality biomedical datasets
Long development cycles and expensive wet-lab validation
Virtual screening with Denvis
Challenge: Drug discovery is bottlenecked by the slow and expensive process of screening compounds against target proteins.
Solution: AI-powered virtual screening with GNNs which rapidly evaluates small molecules for potential drug candidates. Also an AI-Guided Drug Repurposing solution.
Results: Accelerates early-stage drug discovery, reduces costs, and improves hit identification by predicting binding affinity with high precision. Reduces reliance on costly and time-consuming wet-lab experiments.
Facts: In a global collaborative effort aimed at identifying binders for COVID-19 proteins, DeepLab was one of seven teams, out of over a hundred (130), to successfully identify true binders Speeds up early-stage drug discovery: DENVIS is 1,000 ~ 10,000 times faster than its competitors
Generative AI for De Novo Drug Design
Challenge: Traditional drug design is slow and expensive, with many failures due to poor drug properties. AI can generate molecules that are both potent and drug-like.
Solution: AI-driven molecule generation designs novel compounds tailored for specific targets and optimizes both potency and drug properties simultaneously
Results: Increases the likelihood of clinical success, shortens development cycles and automates and accelerates the design-make-test cycle.
ML Solutions on precision medicine with Deep-ID
Challenge: Deep learning models in healthcare are often criticized as “black boxes,” making it difficult to understand their decision-making process.
Solution: Multi-modal AI models integrate diverse biomedical data while maintaining interpretability, allowing clinicians to identify key biomarkers and disease patterns.
Results: Enhances diagnostic accuracy, enables early disease detection, and provides transparent, explainable AI-driven insights for precision medicine.
Facts: Top pharma company as a client
Solutions
Solutions
DeNViS – AI-powered virtual screening
Rapid screening of over 1B molecules using GNNs, reducing time & cost
AI-driven de novo drug design
Generate & optimize molecules with improved ADMET properties
Deep-ID – Precision medicine
Multimodal AI models for disease diagnosis, prognosis & biomarker discovery
AI-guided treatment personalization
Leverage genomics, imaging, and clinical data to suggest optimal treatments
Results
Faster product discovery
Higher conversion and engagement rates
Frictionless customer experience
Accelerate discovery and diagnosis with AI
Let’s discuss your project or explore a partnership