Even in early stage biotech there is power in numbers... When there was ample capital available it made sense for early stage biotech companies to stay largely closed off and forge the drug discovery valley of death on their own. There seemed to be endless capital to stay alive. VC was willing to take a lot of risky and even questionable bets. But regardless of that, the failure rate in biotech and particularly therapeutics has always been high. Tons of ideas getting funded with sky high valuations never changed that. So even as early stage capital returns to biotech, there is time to consider an inflection point. Early stage biotechs should think about more early stage collaboration or even combining of ideas. Sure, that means that you have doubled the number of founders and split the equity pie amongst more individuals. But this could be a way to de-risk. It could be a way to reach the clinic quicker or an exit quicker. I see a lot of good early stage ideas that could be made great if they spoke to other early stage ideas and considered joining forces. Sometimes 1 + 1 does equal 3. Power in numbers. Let's consider more collaboration between early stage biotechs. Consortium of early ventures? #Biotech #VentureCapital #Therapeutics #DrugDiscovery
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Strategic Growth Advisor | M&A and Venture Capital Expert | Deep Tech Executive & Board Member | Podcast Host 200+ Podcasts/Livestreams | 17x (Ultra-) Marathons Finished | Let's Connect and Drive Your Growth!
Why Betting on a Single Drug Candidate in Biotech is a Gamble You Can’t Afford Did you know a drug candidate in the discovery stage has less than a 1% chance of success? Going all in on a single asset is more than risky—it’s a recipe for disaster. That's why some people call it the molecular casino. Here’s a better strategy: Learn from companies like BioNTech, CRISPR, Moderna, and Intellia. Instead of betting on one candidate, they developed groundbreaking platforms—entire technologies capable of producing multiple therapies and licensing IP to big pharma. Or take Roivant and Blueprint Medicines as examples. By advancing diverse pipelines, they mitigate risk: If a single clinical candidate has a 10% chance of success, having 10 programs dramatically increases their odds of a breakthrough. Also, Evotec uses this strategy but is solely focused on preclinical development. This is the Venture Mindset in action: Mitigate risk, diversify bets, build a team of A-players, and scale winners. In my latest newsletter, I explore how BioNTech’s founders and early investors built a resilient company by applying these principles. 💡 Let’s discuss: Is your strategy more like a single-asset bet or a diversified platform? 🎯 Read my full breakdown of BioNTech’s journey here: [https://lnkd.in/d2Y-AC6P] #biotech #venturecapital #venturemindset #bioeurope #entrepreneurship
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🔬 Don't miss the Early-Stage Therapeutics panel at RESI Boston 2024! 💊 Join industry leaders as they discuss: • Decision-making processes for biotech investments • Hot areas in therapeutics • Standing out in crowded markets • Common pitfalls to avoid • Recent success stories Gain invaluable insights on sourcing novel assets, emerging technologies, and navigating the path to commercialization. Featured panelists: • Ashim Subedee - Division of Research Innovation and Ventures • Chris Garabedian - Xontogeny • Jill Goldstein - Vida Ventures, LLC • Squire Severance - Syridex Bio • Claire Leurent PhD MBA - AbbVie Ventures • Allan Gobbs - ATEM Capital Register now for RESI Boston (September 25-27) to connect with these experts and other early-stage investors: https://lnkd.in/e7QS-AZi Don't miss this opportunity to accelerate your biotech startup's growth! #RESIBoston #Biotech #Therapeutics #Investing #StartupGrowth #VentureCapital #Pharma #Innovation #EarlyStageInvesting #Networking
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Passionate about the data science in pharma and biotech. Organizing Data Driven Pharma events
Therapeutics startups raised a lot of money during 2020 - 2022 for platform-oriented drug discovery But when 2023 arrived, investors became more interested in assets and the definition of a "platform" changed So what happenned under the hood? Developing a drug using a well-established R&D framework is very hard. Developing a new, repeatable drug discovery platform on top of is ten times harder, and only a handful of companies have successfully pulled this off in our industry's history From an investment perspective, assets are what create value and returns, and how you get there matters less But investors also look for differentiation. When money was abundant, companies optimized their pitch by introducing novel drug development platforms Now that money is tighter, companies have adjusted and now pitch existing platforms while zeroing in on one or two key points of improvement on current best practices The above formula has now become the new “platform” Platform companies from 2020-2022 are also making this shift in their marketing and follow-on funding rounds Stay tuned - I'll dive into a few examples of this shift, and point out the key differentiators
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🎉 Congratulations to Xaira Therapeutics!🎉 Xaira Therapeutics, a #generative AI based drug discovery startup led by protein design giants such as David Baker was launched this week with a $1Bn investment! This is yet another testament to the growing confidence in AI's potential to revolutionize biotechnology. At Enzymit, we share similar vision and commitment. We harness groundbreaking AI technologies, including diffusion models and large language models (LLMs), which are crucial in our efforts to transform bioproduction. Our AI tools enable us to design novel enzymes with unprecedented precision. Our approach focuses on the dynamic and intricate nature of enzymes, which are essential catalysts in bioproduction processes. Novel enzymes are key in allowing us to synthesize valuable chemicals such as hyaluronic acid and human milk oligosaccharides (HMOs), making these valuable substances more affordable and accessible. It's an exhilarating time in the computational protein design space, and we are proud to be among the leaders propelling this innovation. Stay connected with Enzymit as we continue to push the boundaries of biotechnology! Hetu K Arvind Rajpal Institute for Protein Design, University of Washington
Incubated by ARCH Venture Partners and Foresite Labs, Xaira Therapeutics is on a mission to drive advances in artificial intelligence to learn the language of life and transform how we treat disease. We’re building significant AI research capabilities spanning fundamental computational methods development and their application to biological discovery, the design of drug-like matter, and clinical development. Xaira emerged from stealth today with $1 billion in committed capital led by ARCH Venture Partners and Foresite Capital, with additional investment from F-Prime Capital, New Enterprise Associates (NEA), Sequoia Capital, LUX Speed Capital, Lightspeed, Menlo Ventures, Two Sigma Ventures, SV Angel and others. Xaira is led by renowned scientist Dr. Marc Tessier-Lavigne, former Chief Scientific Officer of Genentech and former President of Rockefeller and Stanford Universities. Its executives include co-founder Hetu K, formerly of Meta and the Institute for Protein Design; Arvind Rajpal, formerly of Genentech; and Don Kirkpatrick, formerly of Interline and Genentech. Xaira was co-founded by Dr. David Baker, Professor of Biochemistry and Director of Institute for Protein Design, University of Washington. Learn more about our launch from Ryan Cross and Andrew Dunn in Endpoints News.
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Engineering Microbiome for Therapeutics, Wellness and Diagnostics. Make in India for the World.
Have things really changed in the last 200 years? Earlier we were a bottomless pit for men to fight British wars and run their colonies, and now we are reduced to graduating talent for top innovative Western R&D giants. Will we ever build anything in India with cutting edge R&D? Will our research move the needle in any field in India? The world is racing ahead, but have we evolved psychologically from centuries of colonization & humiliation to control our own destiny. I know some of the amazing folks at Xaira. Prof. Baker is the real deal and his research (I have tracked it for the last 14 years) and ambitions, alongwith available technology (he was always ahead of existing tech), can revolutionize the entire drug design industry.
Incubated by ARCH Venture Partners and Foresite Labs, Xaira Therapeutics is on a mission to drive advances in artificial intelligence to learn the language of life and transform how we treat disease. We’re building significant AI research capabilities spanning fundamental computational methods development and their application to biological discovery, the design of drug-like matter, and clinical development. Xaira emerged from stealth today with $1 billion in committed capital led by ARCH Venture Partners and Foresite Capital, with additional investment from F-Prime Capital, New Enterprise Associates (NEA), Sequoia Capital, LUX Speed Capital, Lightspeed, Menlo Ventures, Two Sigma Ventures, SV Angel and others. Xaira is led by renowned scientist Dr. Marc Tessier-Lavigne, former Chief Scientific Officer of Genentech and former President of Rockefeller and Stanford Universities. Its executives include co-founder Hetu K, formerly of Meta and the Institute for Protein Design; Arvind Rajpal, formerly of Genentech; and Don Kirkpatrick, formerly of Interline and Genentech. Xaira was co-founded by Dr. David Baker, Professor of Biochemistry and Director of Institute for Protein Design, University of Washington. Learn more about our launch from Ryan Cross and Andrew Dunn in Endpoints News.
In biggest-ever bet on using AI to design drugs, biotech heavyweights launch Xaira with $1B+ in backing
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How to build your biotech company in 2024 (according to founders)
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Biotech execs and VC leaders recently spoke with Biopharma Dive about the current market cycle and its effects on both startups and big pharma companies. I especially appreciate the point Kevin Marks, CEO of Delphia Therapeutics, made about regularly reassessing R&D hypotheses. Sometimes information changes and we need to think critically about the best path forward. And that doesn’t always mean shutting down a program—Kevin shared an anecdote about successfully pivoting a program to a new indication where it’s now approved. AI and advanced analytics offer us more information than ever. One way we can take advantage of AI is to use it as a tool to regularly reexamine our R&D hypothesis throughout a program’s journey. #Pharma #Biopharma https://lnkd.in/dxs6WEEv
Surviving in biotech’s new normal: 5 tips from industry VCs and CEOs
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Bioengineer Experienced in Leading Teams for Product and Process Dev
6moFantastic point. Biotech is such a complex area that I think having a larger group of founders is very often the best way to have a solid foundation. And I definitely think there are situations where rolling up a couple early stage companies into one would make sense and increase the odds of success. Building up community and conversation between founders would be extremely helpful in identifying those cases and potentiating greater collaboration in our work.