This episode of the "Humans in AI" podcast brings on our COO and explores:
💡 The true significance of building a multi-scale, multi-modal foundation model for biology
🧬 Why training models on biological data is much more challenging than on text or language
💰 The risks involved in investing millions in data that may become worthless within a year
⚖️ How Bioptimus addresses ethics, diversity, and data integrity
🤖 Why she’s establishing an agentic operations team and recruiting “AI Ops” specialists before most companies even know what they are
🚀 Insights from scaling a deep tech startup, covering culture, onboarding, fundraising, and commercialisation.

And, for founders, Mathilda shares two lessons:

• Choose your co-founders carefully; it can make or break your business.
• And think hard about the capital you take. Bootstrap if you can.”

This episode dives deep into the intersection of AI, biology, and entrepreneurship, and what it takes to lead when your mission is literally to understand how life works