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Diana Aladzhova stories

Diana Aladzhova focuses on the complex landscape of deep tech and AI startups, exploring the unique challenges these ventures face as they transition from research labs to market-ready products. Her stories delve into the disconnect between traditional app-style funding and the long development cycles typical for scientific innovations.

Through her insights, readers can gain a clearer understanding of the investment dynamics impacting deep tech enterprises, including the need for patient capital that aligns with scientific progress rather than immediate commercial returns. Engaging with her work offers valuable perspectives for entrepreneurs, investors, and anyone interested in the evolution of technology-driven industries.

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Deep tech & AI startups are built like labs, yet still trying to get funded like apps

Last month
Europe's Deep Tech startups, rooted in labs, struggle with app-style funding models; new Playbook urges patient capital aligned with scientific milestones.