
BluMaiden
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Date | Investors | Amount | Round |
---|---|---|---|
- | investor | €0.0 | round |
* | N/A | Seed | |
Total Funding | 000k |
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BluMaiden Biosciences, established in 2020, is a biotechnology firm headquartered in Singapore with operations in Europe and a commercial focus on the United States. The company was co-founded by Damien Keogh, who now serves as the Chief Operating Officer, alongside scientific co-founder Rohan Williams, a computational biologist, and serial entrepreneur Robert Meyer. Dr. Keogh's background spans academia, venture capital as an Entrepreneur-in-Residence, and biotech, including time at Johnson & Johnson Innovation JLABS. This diverse experience shaped the company's approach to integrating advanced computation with clinical insights.
BluMaiden operates on a dual-front business model. The first component is providing specialized pharma services, offering clinical trial analytics to pharmaceutical companies to enhance decision-making. This service helps clients with drug response prediction, patient stratification, and trial design, effectively de-risking and optimizing clinical trials. The second, synergistic component is its internal drug discovery engine. Revenue is generated through these pharma services, which in turn provide the drug discovery division with early access to high-quality clinical data and human-first evidence.
The company's core technology is the MAIDEN™ platform, which combines computational biology and chemistry to analyze the human microbiome. A key feature within this platform is QuantumBridgeAI™, a proprietary AI model that translates genomic data into small molecules, effectively exploring the 'dark matter' of human-derived natural products to find new drug candidates. This 'TechBio' approach leverages AI and machine learning to accelerate the identification of small molecule therapeutics, including those for traditionally 'undruggable' targets, by focusing on compounds that are inherently biocompatible.
Keywords: drug discovery, biotechnology, microbiome analysis, AI in pharma, computational biology, clinical trial analytics, small molecule therapeutics, pharma services, patient stratification, computational chemistry, reverse translation, natural product discovery, human-first evidence, bioinformatics, drug development, clinical insights, precision medicine, multi-omics data, therapeutic discovery, AI-guided drug development