AI agents lack the full context needed to understand individuals across their disparate digital profiles. To solve this, startup Nyne has raised $5.3 million to build an intelligence layer that analyzes public digital footprints across platforms. The company aims to give AI agents a deeper understanding of people by triangulating data from social networks and various apps.
The main topics covered are the identified limitation in current AI agents, the proposed solution and funding of the startup Nyne, and its method of aggregating public digital data.
AI agents are expected to soon start making autonomous purchasing and scheduling decisions on behalf of humans.
But Michael Fanous, a UC Berkeley computer science graduate and former machine learning engineer at CareRev, 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.
To solve this, he teamed up with his father, Emad Fanous, a veteran CTO, to build Nyne, a startup aiming to become the intelligence layer that helps agents understand humans across their entire digital footprint.
On Friday, Nyne announced it raised $5.3 million in seed funding led by Wischoff Ventures and South Park Commons, with participation from several angel investors, including Gil Elbaz, the co-founder of Applied Semantics and a pioneer of Google AdSense.
While it may seem that Nyne is tackling an issue already solved by classic machine learning—given how effective Google’s ad targeting is at identifying its users — CEO Michael Fanous argues otherwise. Google’s “secret sauce” is its exclusive access to users’ search histories and cross-platform activity, a data advantage the tech giant will never share with external agents, he said.
For everyone else, “this is an oddly hard problem to solve,” explained Nichole Wischoff, founder of the solo VC fund Wischoff Ventures, which backed the deal.
Fanous told TechCrunch that Nyne tackles the problem by deploying millions of agents across the internet to analyze public digital footprints and then applying machine learning techniques to that data.
Nyne can triangulate information about a person by looking across not only major social networks like Instagram, Facebook, and X, but also their activity on apps like SoundCloud and Strava.
Later, 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.
“I can give them any piece of information about a person that could be useful to make the right next action,” Fanous said. “Once you make all these connections, you can understand a person fairly deeply, their interests, their hobbies, and how they think about very specific things,” he added.
According to Wischoff, the market for this data is massive and valuable to any company using AI agents to reach out to customers.
“How do I know you’re pregnant and sell you A, B, or C as early as possible?” she said.
While previous generations of ad tech companies were able to gather some of this data, Nyne intends to do this for the world of agents with much more precision.
As for how the father-son duo works together, the CEO says he has an ideal partnership with his CTO and dad.
“I think with co-founders, it becomes easy to walk away when things don’t work,” Fanous said. “If I have to ping him at three in the morning to finish a launch, I know he’s going to still love me the next day.”
Meridiano
