Nyne Technologies, a startup born and bred right here in Baltimore by Michael and Emad Fanous, a father-son team on a mission. Their mission is to liberate AI agents by providing them a more nuanced understanding of human context. Established by Michael Fanous, a UC Berkeley computer science graduate and former machine learning engineer at CareRev, Nyne has set out to tackle a significant challenge: the lack of contextual awareness in AI agents. Nyne leverages millions of agents that move across the internet to begin analyzing these expansive public digital footprints. They use the same machine learning techniques to gain unique foresights on identity.
The announcement follows the company’s recent $5.3 million seed funding round, led by Wischoff Ventures and South Park Commons. During this funding round, many well known angel investors participated. Of those graduates, one was Gil Elbaz, co-founder of Applied Semantics and a key architect of Google AdSense. This financial backing will support Nyne’s mission to become the intelligence layer that helps AI agents comprehend humans across their entire digital footprint.
Nyne’s approach is refreshingly innovative in triangulating information from these big social networks, including Instagram, Facebook, and X (formerly Twitter). They use it to scrutinize user activity on apps like SoundCloud and Strava. This deep analysis gives Nyne’s AI-based agents the ability to offer key intelligence on current and future customers. Michael Fanous stressed the importance of starting with all context. He said, “I want to be able to supply any bit of information on a human that’s going to help you make the best next action.”
Unlike these classic machine learning models, one of the main goals behind Nyne’s technology is to help brands understand individuals on a deeper level. Michael Fanous explained that previous generations of advertising technology could gather some data, but Nyne aims for precision in the world of AI agents. He emphasized that today’s AI agents still need a really important context that is critical to serving us users better.
Nichole Wischoff, founder of Wischoff Ventures, underscored the depth of the issue Nyne aims to solve. She stated, “This is an oddly hard problem to solve,” as companies look for ways to understand their customers better. The insights generated through Nyne’s technology could potentially allow businesses to tailor their offerings more precisely, raising questions about how to identify consumer needs early on.
“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.” – Michael Fanous
Nyne’s solution goes beyond helping customers know what they’re purchasing. It gives companies who face consumers direct incentives to deploy AI agents safely and effectively. The ability to analyze digital footprints and provide contextual insights positions Nyne as a significant player in the evolving landscape of artificial intelligence.