Clone Labs, an AI startup developing a 'User Model' that predicts user intent and decisions by recor...

Clone Labs, an AI startup developing a 'User Model' that predicts user intent and decisions by recording computer and agent usage patterns, has secured investment from NAVER D2SF, the deep-tech focused venture arm of South Korean internet giant NAVER.

This investment signals a convergence of two market forces: the rise of behavior-capture AI that logs fine-grained user actions (keystrokes, cursor movements, app-switching patterns) and the growing demand for agentic systems that require anticipatory context. By building a model that learns user decision patterns from recorded computer activity, Clone Labs sits at the intersection of AI agents and user-modeling infrastructure — a space that could unlock more personalized, predictive automation for both enterprise workflows and consumer interfaces.

NAVER D2SF's backing provides strategic distribution potential within the Korean tech ecosystem Blocks known for search, e-commerce, and fintech. The 'User Model' thesis faces open questions around privacy consent, data residency, and whether behavior-recording at scale can generalize across diverse user populations without introducing bias. If Clone Labs can navigate these hurdles, its approach could become a standard middleware layer for agentic software that needs to predict — rather than merely react to — human intent.