AMRC, Boeing, Constellium, GE Additive - AM | Optimising process parameters NASA – material and component design | Alchemite™ gives accurate predictions Domino Printing Sciences – ink formulation | Maximised value from lab resources Johnson Matthey – automotive catalysts | Reduced the amount of experiment required Optibrium and AstraZeneca - drug discovery | Successfully predicts pharmacokinetics Rolls-Royce - aerospace alloys | New alloy design satisfying 11 property criteria OCAS – steels | Insights from process and microstructure data GKN Aerospace - alloy design | Virtual experiments deliver results in seconds Optibrium and Genentech - drug discovery | Accurate models despite sparse data
Intellegens announces US expansion We're expanding our operations to include a US-based sales and service team. 5 questions that might matter more than 'is it accurate?' Blog - Questions to ask when setting objectives for a machine learning project Predicting pharmacokinetics with Optibrium and AstraZeneca Optibrium and AstraZeneca - drug discovery | Successfully predicts pharmacokinetics
Recorded Webinar: Machine learning for polymers R&D Recorded webinar. Save time and cost optimising chemistry, blending, and formulation. Webinar: Towards net zero manufacturing processes with machine learning Recorded webinar. Machine learning for more sustainable products and processes. Alchemite™ deep learning – solving complex problems with real-world data Intellegens white paper. An overview of the Alchemite™ deep learning technology.
