According to a recent LinkedIn post from Protege, CEO and co-founder Bobby Samuels recently discussed the role of data in advancing AI models on Andreessen Horowitz’s Raising Health podcast. The post notes that a16z partners Daisy Wolf and Eva Steinman, who led the firm’s latest investment in Protege, hosted the conversation, and that this financing marks the company’s third funding round in less than two years.
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The post highlights Samuels’ view that model performance depends on parallel advances in compute, model architecture, and data, with data identified as the persistent bottleneck. It also cites his argument that accessing data at the required scale will depend on leveraging real‑world sources while compensating data holders for their assets, positioning Protege around a thesis that large, dedicated data-focused platforms may be critical to the next wave of AI development.
For investors, the reference to three funding rounds in under two years suggests continued venture interest and capital availability to execute on this data-centric strategy. If Protege can help unlock high-quality, real‑world datasets under compensation models acceptable to data owners and regulators, it could occupy a strategic niche in the AI infrastructure stack, though long‑term outcomes will depend on competitive dynamics, privacy frameworks, and the company’s ability to convert technical vision into scalable, defensible products.