Ep 53: Cradle CEO Stef van Grieken on the State of AI x Bio and Selling SaaS to Pharma
Dec 3, 2024
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Stef van Grieken, Co-founder and CEO of Cradle, spearheads AI innovations in protein engineering for drug development. They delve into the rapid growth of Cradle, fueled by a $100M funding round, and discuss the complexities of AI's integration into drug discovery. Stef highlights the challenges of selling SaaS to pharma and the critical need for effective lab automation. With insights into future trends, he explores what the next 25 years hold for biotechnology and the evolving landscape of AI-driven drug development.
AI in drug development is evolving but remains in its infancy, with significant room for improvement and reliability in various applications.
Cradle Bio's innovative platform streamlines protein design, enhancing productivity and enabling tailored experimental setups for diverse therapeutic focuses.
The future of drug discovery is anticipated to involve shorter turnaround times and improved data generation, empowering smaller biotech firms to thrive.
Deep dives
AI's Current Role in Protein Development
AI is still in the nascent stages of improving protein development, with the speaker humorously noting it feels akin to 'GPT 0.2'. The main focus areas for AI include metagenomics and interpreting large datasets to better understand diseases and treatments. It has begun to influence various stages of drug development, from hit identification to lead optimization. While significant progress is being made, there's still a long way to go in terms of reliability and understanding the full potential of AI in this field.
Advancements in Biologics Development
The speaker emphasizes that biologics are increasingly becoming a critical area of focus within AI-powered drug development. Specific advancements include the identification of targets and understanding structural components, but challenges remain, especially in optimizing multiple properties simultaneously. The mention of models that learn from experimental results points to a move towards enhancing the efficiency of development cycles. Despite advancements, predicting immunogenicity continues to be an area that is yet to see substantial improvement.
The Efficiency of Cradle's Software Solutions
Cradle Bio's software aims to streamline the protein design process for bench scientists, allowing them to produce experimental setups efficiently. The company has served a range of clients with different therapeutic focuses, achieving impressive speed improvements in the hit-to-lead optimization process. By generating libraries of sequences based on specific target profiles, they enable experimental setups that can be tailored to diverse types of assays. This capability not only enhances productivity but also opens new avenues for more tailored drug development.
The Importance of In-House Expertise and Data
In-house data generation is crucial for Cradle, enabling the team to conduct rapid experiments and refine their models effectively. The speaker notes that while they collect data from customers, they do not use this data to compromise intellectual property, prioritizing customer confidentiality. This commitment allows Cradle to learn and adapt their algorithms while developing robust benchmarks. The speaker expresses an ambition for transformative improvements in protein development timeframes through efficient in-house systems.
Future Directions in AI Bio and Drug Development
The speaker envisions significant transformations in drug discovery over the next few decades, necessitating shorter turnaround times and higher quality data generation. There is a goal for models to understand complex protein structures without requiring exhaustive data, and to foster advancements in protein design. Additionally, there's a push to create accessible platforms akin to AWS for biotechnological applications. This evolution indicates a future where smaller biotech companies could thrive due to increased efficiency in drug development processes.
Jacob sits down with Stef van Grieken, Co-Founder & CEO of Cradle. Cradle has raised over $100M from investors like IVP and Index Ventures to build and expand their AI-enabled protein engineering platform. They discuss how Cradle plans to use their new Series B funding, what’s been happening in AI bio, the technical underpinnings of Cradle’s platform, and more.
[0:00] Intro [0:22] Cradle Bio's Rapid Growth and AI Innovations [0:53] The State of AI in Drug Development [1:15] Challenges and Opportunities in AI Biospace [2:21] Cradle Bio's Approach to Biologics Development [3:11] AI's Role in Hit Identification and Lead Optimization [7:42] Cradle Bio's Software and Customer Base [10:33] Inside Cradle Bio's Lab and Data Strategy [24:10] Future Directions and Protein Modalities [26:21] Navigating the Pharma SaaS Market [28:48] Challenges in Adopting New Protocols [30:15] Software vs. Service Companies [31:47] Gaps in Drug Development [33:46] Advances in AI and Bio [41:28] Future of Drug Discovery [44:18] Advice for Aspiring Bio Entrepreneurs [48:03] Quickfire