"Michael Fanous argues that these agents are currently missing a critical piece of the puzzle: the full context required to truly understand the people they are programmed to serve. Fanous claims that machines currently struggle to discern whether a person's professional profile on LinkedIn, their activity on Instagram, and their public government records all belong to the same human being."
"Google's 'secret sauce' is its exclusive access to users' search histories and cross-platform activity, a data advantage the tech giant won't ever share with external agents. For everyone else, 'this is an oddly hard problem to solve,' according to Nichole Wischoff, founder of the solo VC fund Wischoff Ventures."
"Michael Fanous told TechCrunch that Nyne tackles this by deploying millions of agents across the internet to analyze public digital footprints and then applying machine learning techniques to that data. As more consumer-facing companies deploy AI agents, they can turn to Nyne to give those agents a deeper, real-world understanding of both existing and potential customers."
AI agents are poised to make autonomous purchasing and scheduling decisions but currently lack comprehensive understanding of the people they serve. Michael Fanous, a UC Berkeley computer science graduate and former machine learning engineer, identifies a critical gap: machines struggle to connect a person's LinkedIn profile, Instagram activity, and government records as belonging to the same individual. To address this, Fanous partnered with his father Emad, a veteran CTO, to create Nyne, a startup designed to serve as an intelligence layer helping agents understand humans across their entire digital footprint. Nyne recently raised $5.3 million in seed funding led by Wischoff Ventures and South Park Commons. While Google effectively targets users through exclusive access to search histories and cross-platform data, Nyne tackles this challenge for other companies by deploying millions of agents to analyze public digital footprints and applying machine learning techniques to provide consumer-facing companies deeper understanding of customers.
Read at TechCrunch
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