Babylon SPAC Presentation Deck

Our Technology is Well Protected & Recognized for Excellence ● ● Patents & Supportive Studies Patents 1) 2) 10 Granted (all in US) Innovative, Peer-Reviewed and Safeguarded by Suite of Patents 43 Pending applications (1) ● • 29 peer-reviewed papers published in leading journals Our peer-reviewed research demonstrated how diagnostic algorithms can be significantly improved through the application of counterfactual inference on causal models(2) Media coverage of Babylon's Peer-reviewed Al research MIT Technology Review An algorithm that can spot cause and effect could supercharge medical Al "I'm going to use it as a warning to machine-learning enthusiasts in the US - you're going to be made obsolete by companies in the UK" Judea Pearl, Turing Award-winner and professor of computer science at UCLA frontiers in Artificial Intelligence A Comparison of Artificial Intelligence and Human Doctors for the Purpose of Triage and Diagnosis Notes: Digital tools do not offer a diagnosis and references to diagnosis here are for research purposes only. 3 of the 43 pending patents have been accepted by US Patent & Trademark Office but not formally issued. Richens & Lee et al. "Improving the accuracy of medical diagnosis with causal machine learning". IA rating overlapping datasets bivariate causal discovery Association for the Advancement of Artificial Intelligence nature communications Improving the accuracy of medical diagnosis with causal machine learning NewScientist Al mimics the way doctors think to make better medical diagnoses Advances in Approximate Bayesian Inference MultiVerse: Causal Reasoning using importance Sampling in Probabilistic Programming NEURAL INFORMATION PROCESSING SYSTEMS Neural poral Point Processes for Modelling Electronic Health Records 67

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