Machine Learning

Deep Learning-driven Exscientia Announces Investment of up to $525M

Exscientia

Proceeds to continue expansion of proprietary pipeline and end-to-end AI drug discovery capabilities

$225 million Series D round closed with access up to an additional $300 million at Exscientia’s discretion

Financing led by SoftBank Vision Fund 2

Exscientia, a clinical stage pharmatech company using artificial intelligence (AI) to design patient-based drugs, announced that it has completed a $225 million Series D funding round. SoftBank Vision Fund 2i led the Series D and was joined by previous round lead investors, Novo Holdings and funds managed by Blackrock. Other investors included Mubadala Investment Company, Farallon Capital, Casdin Capital, GT Healthcare Capital, Marshall Wace, Pivotal bioVenture Partners, Laurion Capital, Hongkou and Bristol-Myers Squibb. In addition, SoftBank is providing an additional $300 million equity commitment that can be drawn at the Company’s discretion.

Exscientia uses AI across its platform from target identification through drug design and patient selection in order to precision engineer new medicines. The Company has advanced the first two fully AI-designed drugs into clinical trials and now has over 20 active programs in its pipeline. Funding from the Series D round will be used to advance Exscientia’s proprietary pipeline through clinical testing as well as to continue expanding the technology platform toward autonomous drug design.

Commenting on the investment, Eric Chen, Managing Partner of SoftBank Investment Advisers, said: “We believe Exscientia’s innovative use of AI to discover and design better quality drugs with greater efficiency has the potential to create important medicines faster than ever before. With the convergence of technology and biology, drug discovery is rapidly evolving in ways that will reshape the industry. The Exscientia team have been leaders in AI-based drug discovery since the field’s inception and we believe they will continue shaping its future.”

Exscientia has built and integrated a broad array of AI and experimental technologies to capture and utilize the most patient-relevant data to precision design drugs for multiparameter optimization. The Company’s platform evaluates the target and mechanism through high content phenomics, novel biophysics and deep learning from biological data. That information is then translated into the design of precision drugs through proprietary AI algorithms driven by thousands of models. By remaking the process of drug discovery, Exscientia is also able to reset industry standards for productivity. To date, the Company has been able to advance seven precision designed drugs from project initiation to development candidate in an average time of 12 months.

Andrew Hopkins, CEO of Exscientia added, “All of our investors share Exscientia’s vision to discover better drugs, faster, through AI and automation. Our patient-first AI platform has repeatedly demonstrated its ability to precision design drugs that address patients’ needs. With the Series D completed, the quality and depth of our shareholder base allows us the freedom to continue to scale both our platform and pipeline.”

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