RECURSION AND EXSCIENTIA, TWO LEADERS IN THE AI DRUG DISCOVERY SPACE, HAVE OFFICIALLY COMBINED TO ADVANCE THE INDUSTRIALIZATION OF DRUG DISCOVERY
· Recursion unveils post-combination technology-enabled portfolio with more than 10 clinical and preclinical programs, 10 advanced discovery programs, and more than 10 partnered programs
· Platform will focus on first and best-in-class drug discovery and development, demonstrating the ability to find novel insights and dramatically reduce the time and cost of discovery
· Recursion will host an update call today, November 20, 2024 at 7:30 a.m. ET / 5:30 a.m. MT / 12:30 p.m. GMT on LinkedIn, X and Youtube
SALT LAKE CITY, Nov 21 (Bernama-GLOBE NEWSWIRE) -- The business combination of two AI-powered drug discovery and development companies, Recursion (Nasdaq: RXRX) and Exscientia has been completed, with Exscientia becoming a wholly owned subsidiary of Recursion creating a vertically-integrated and technology-enabled drug discovery platform. Exscientia ADSs (Nasdaq: EXAI) ceased trading and will be delisted from Nasdaq.
“I believe the combination of the incredible teams and platforms at Exscientia and Recursion position us as the leader of the AI-enabled drug discovery and development space,” said Chris Gibson, Ph.D., Co-Founder and CEO of Recursion. “With more than 10 clinical and preclinical programs in the internal pipeline, more than 10 partnered programs and over $450M in upfront and realized milestone payments received from partners to date out of more than $20B possible, we are advancing a flywheel of discovery and creating value in our pipeline through technology.”
“The combination of our platforms and people make us the company to beat,” said David Hallett, Ph.D., former CSO and Interim CEO of Exscientia and newly appointed Chief Scientific Officer at Recursion. “With our combined strength of real-world proprietary data and the models we’ve created – hypothesizing, testing and learning in a continuous loop – we're redefining the space by shrinking timelines and costs, identifying and optimizing lead candidates faster than traditional methods.”
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