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Pharmaceuticals
Drug Discovery Accelerated by 3x with AI
AI-powered molecular property prediction and virtual screening for drug discovery pipeline, accelerating compound screening by 3x.
Client: Biotech Research LabDuration: 9 months
3x
Faster Screening
500K+
Compounds Screened
+40%
Success Rate
60%
Cost Reduction
The Challenge
Traditional drug discovery is slow and expensive. Screening compounds manually took months and had low success rates, delaying potentially life-saving treatments.
Our Solution
We developed ML models for molecular property prediction, binding affinity estimation, and toxicity screening, enabling virtual screening of millions of compounds before lab testing.
Key Results
Compound screening accelerated by 3x
Over 500K compounds virtually screened
Hit rate improved by 40%
Early-stage R&D costs reduced by 60%
Tech Stack
PyTorchRDKitDeepChemAWS BatchMLflow
"AI has fundamentally changed how we approach drug discovery. We're finding promising candidates faster and with higher confidence than ever before."
Head of Computational Biology
Biotech Research Lab
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