In 2026, as AI assistants begin to autonomously book meetings and make purchases, a fundamental flaw persists: they don’t really know us. Michael Fanous, a former machine learning engineer, observed that these systems fail to connect the dots between a person’s LinkedIn profile, Instagram posts, and public records. To an agent, these could be three different people.

To bridge this understanding gap, Fanous partnered with his father, veteran CTO Emad Fanous, to launch Nyne. The startup positions itself as an intelligence layer, designed to give AI a coherent view of an individual across their entire digital presence. The company just secured $5.3 million in seed financing. The round was led by Wischoff Ventures and South Park Commons, with angel investor Gil Elbaz, co-founder of Applied Semantics, also participating.

Michael Fanous argues that while giants like Google excel at user identification, their power comes from proprietary data—search histories and cross-platform activity—they will not share. "For everyone else, this is an oddly hard problem to solve," notes Nichole Wischoff of Wischoff Ventures.

Nyne’s approach involves deploying millions of its own agents to scan public data from platforms like Instagram, Facebook, X, SoundCloud, and Strava. Machine learning models then synthesize this information, building a nuanced profile of a person’s interests and behaviors. As consumer-facing companies adopt AI agents, they could use Nyne’s service to equip them with deeper, real-world context for customer interactions.

The potential market is significant. Wischoff points to the classic commercial imperative: "How do I know you’re pregnant and sell you A, B, or C as early as possible?" Nyne aims to provide that precision for the coming generation of AI.

The founding team adds a unique dimension. Michael calls the partnership with his father ideal. "If I have to ping him at three in the morning to finish a launch," he says, "I know he’s going to still love me the next day."

Source: TechCrunch