AI-Driven Drug Discovery
Machine learning, deep learning and graph neural networks across every stage of the pipeline.
AI Transforming Biomedical Research
Drug Target Identification
ML-powered prediction from multi-omics data.
Drug Repurposing Prediction
Identifying new uses for existing molecules.
Mutation Impact Analysis
Predicting functional consequences of variants.
Ligand Optimization
AI-guided lead compound design and refinement.
Pharmacokinetic Prediction
ADMET profiling for compound prioritization.
De Novo Drug Design
Generative AI for novel scaffold creation.
Our AI Tech Stack
Frameworks combining cheminformatics, deep learning and structural biology.
AI in Action
Virtual Screening
Screen millions of compounds against biological targets in hours using AI scoring functions.
QSAR Modelling
Supervised learning to predict bioactivity from molecular descriptors.
Generative Drug Design
VAEs and GANs for de novo molecules with optimized pharmacological profiles.
Protein Structure Prediction
AlphaFold2 integration for novel or mutant proteins.
Biomarker Discovery
ML on transcriptomic and proteomic data for diagnostic and prognostic biomarkers.
Network Analysis
Graph neural networks on interaction networks for pathway enrichment and target prioritization.
Harness AI for Your Research
We build and deploy custom AI models tailored to your drug discovery challenges.