The Pitch #131 Flock AI: Model Generated Models
May 1, 2024
Investors Elizabeth Yin, Charles Hudson, Beck Bamberger, Pascal Unger, and Mac Conwell analyze Flock AI's innovative approach to model generation for e-commerce. They discuss the impact on retail tech, pricing models, and the authenticity of AI-generated content. The intense competition among investors and the challenges of securing funding in the startup world are also highlighted.
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Founder's Motivation
- Vita Mallela, the founder, shared her personal experience of feeling unrepresented in online shopping.
- This fueled her desire to create Flock AI, which generates diverse AI models for e-commerce.
AI-Generated Diversity
- Flock AI creates AI-generated images of diverse individuals wearing products, addressing representation in e-commerce.
- This includes variations in skin color, gender, and size.
In-House Model Creation
- Flock AI builds in-house models using stable diffusion as a base and adding proprietary algorithms for aesthetics and demographics.
- This allows for unique visual analytics to track model demographics and posing effectiveness.