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 dataset
- Long development cycles and expensive wet-lab validation
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
✅ Accelerated drug development timelines
✅ Higher success rates in clinical trials
✅ Transparent AI-assisted decisions in medicine
✅ Faster & more accurate diagnoses
✅ Personalized treatment plans
✅ Lower drug development costs
Use Cases
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