Inside Basecamp Research, the AI startup turning evolution into training data
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London-based Basecamp Research has secured $140 million in funding from investors including Nvidia and Anthropic to develop EDEN, an AI model that trains on genetic data from diverse environmental samples. The company aims to design new antibiotics and gene-editing tools by analyzing evolutionary patterns found in microorganisms from habitats like rainforests and oceans. Early preclinical studies indicate that EDEN-designed candidates are effective against multidrug-resistant bacteria in mice, matching the performance of last-resort antibiotics. Despite these promising lab results, none of the company's six therapy programs have yet advanced beyond lead optimization into human clinical trials. Basecamp emphasizes the need for massive, ethically sourced datasets, arguing that public genome databases are too limited due to their heavy bias toward a few species. To ensure responsible data usage, the firm traces every genetic token to its geographic origin and shares revenue with local partners who provide samples. While the technology shows potential for making biology programmable, significant challenges regarding delivery mechanisms and safety remain before widespread medical application.
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