BenevolentAI SPAC Presentation Deck

1 Proprietary knowledge graph, purpose-built for drug discovery The data engine that powers the Benevolent platform COMPREHENSIVE DATA 400m NLP derived relationships 30m structured relationships Literature Scientific Literature Patent Literature Regulatory Documents Pathology Diseases Symptoms Biological Systems Cellular Component Molecular Function Biological Process Mechanism Pathways DIVERSITY OF DATA 85+ data sources used 1bn relationship edges Benevolent Knowledge Graph GROWTH OF DATA 22m additional mechanism connections 14x growth over 12 months Experiments Assay Data (Binding, Omics Comparison, CRISPR Screens) Clinical Trial OMICS Genes Proteins Isoforms Transcripts & Variants Molecules Organic Compounds Preclinical Candidates Approved Drugs Antibodies Other Biologics Pharmacology Pharmacokinetics Uniquely combines public, proprietary & inferred knowledge ✔ 60%+ of the most important information used by our models is Al-derived, proprietary knowledge ✔ Therapeutic area and drug modality agnostic Can be deployed with partners in secure cloud environment Benevolent 13

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