TechCrunch
NOVEMBER 27, 2023
Biotech and AI startup Cradle is finding success with its generative approach to protein design, landing big customers and a hefty $24 million of new investment. The company exited stealth a little over a year ago, just as the hype around large language models was really heating up.
N2Growth Blog
OCTOBER 23, 2023
Understanding the Unique Challenges in Recruiting for Biotech and Life Sciences The recruitment process in the biotech and life sciences industry comes with its own set of unique challenges. One of the primary obstacles is the need for more highly skilled and qualified talent.
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TechCrunch
DECEMBER 16, 2022
6 investors discuss why AI is more than just a buzzword in biotech. In her latest investor survey, Anna Heim spoke to six biotech investors about where AI creates value, short-term market shifts, and how they’d like to be approached by founders: Robert Mittendorff, M.D, general partner and head of healthcare, B Capital.
Crunchbase News
DECEMBER 12, 2024
Earlier this week, life sciences venture firm Dimension Capital announced it had raised a new $500 million second fund just two years after its first to hunt for startups that are using artificial intelligence to develop new medicines. Venture funding to AI-related biotech and healthcare startups hit only $4.8
TechCrunch
FEBRUARY 11, 2021
Just three years after its founding, biotech startup Immunai has raised $60 million in Series A funding, bringing its total raised to over $80 million. “I hope it doesn’t sound corny, but we don’t have the luxury to move more slowly,” explained Immunai co-founder and CEO Noam Solomon in an interview.
Crunchbase News
NOVEMBER 1, 2024
There may not have been a $1 billion raise this week, but large money deals did abound. startups raised half a billion dollars apiece, and another eight raised $100 million or more, with industries from cybersecurity to biotech to AI represented. billion valuation in the process. billion valuation.
TechCrunch
DECEMBER 2, 2020
Sifting through the trillions of molecules out there that might have powerful medicinal effects is a daunting task, but the solution biotech has found is to work smarter, not harder. Machine learning has, of course, accelerated work in many fields, biochemistry among them, but he felt that the potential of the technology had not been tapped.
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