
SynTensor
Developing new methods to predict drug efficacy and toxicity.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
* | N/A | Seed | |
Total Funding | 000k |
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SynTensor is a healthcare technology firm operating at the intersection of artificial intelligence and drug development. Founded in January 2019 by Clayton Rabideau and Rosie Higgins, the company aims to de-risk pharmaceutical research and development by addressing the high failure rates and costs associated with clinical trials. The company originated from the entrepreneurial ecosystem of Cambridge University.
The founding team's expertise is central to the company's direction. CEO/CTO Clayton Rabideau holds a PhD in Chemical Engineering and Biotechnology from the University of Cambridge, where his research in computational synthetic biology laid the groundwork for SynTensor's core technology. Co-founder and Advisor Rosie Higgins brings extensive product leadership experience from the biotech sector, having served as COO at BenevolentAI and VP at Novartis, specializing in bringing emerging technologies to market.
SynTensor has developed a sophisticated simulation platform that functions as a single mechanistic model of human physiology. This platform simulates complex metabolic interactions within every cell across all tissues simultaneously, aiming to provide a 'CAD for biology'. Its main service is to generate causal hypotheses for a drug's efficacy and systemic toxicity when given a specific disease and compound. This allows pharmaceutical companies and research institutions, its primary clients, to better predict and understand how a drug will behave in the human body before initiating costly and time-consuming clinical trials. The platform is designed to be generalizable across various diseases, therapeutic methods, and patient genotypes.
The company's business model is geared towards becoming a Software-as-a-Service (SaaS) provider for the pharmaceutical industry. SynTensor is currently in a pre-revenue stage, conducting pilot programs with approximately six companies and anticipates generating initial revenue by the end of 2024. The firm is venture-backed, having secured funding from investors including Lifeforce Capital, Hula, and Morningside, and recently completed a successful equity crowdfunding campaign on the Republic platform, raising over $4.2 million against a $20 million valuation cap.
Keywords: drug development, computational biology, drug efficacy, systemic toxicity, mechanistic modeling, human physiology simulation, AI in pharma, clinical trial prediction, preclinical simulation, dynamical systems simulation, metabolic interactions, cell simulation, toxicity prediction, Clayton Rabideau, Rosie Higgins, BenevolentAI, Novartis, Cambridge University, Lifeforce Capital, SaaS for biology, foundation models for biology, computational synthetic biology, mechanistic insights, drug discovery AI