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§ Private Profile · New York City, NY, USA
Innovative products using computer vision for parents and babies.
Nanit delivers smart baby monitoring systems, using AI and computer vision to track infant sleep and overall well-being. Its products integrate specialized cameras with proprietary analysis, providing parents detailed insights into a child's movement and breathing. This technology goes beyond basic video, offering a comprehensive view of developmental patterns and health.
Founded in 2014 by Assaf Glazer, Tor Ivry, and Andrew Berman, Nanit addressed parental anxieties regarding infant care. Their insight was to leverage technology for peace of mind through data. They aimed to evolve traditional baby monitoring into an intelligent system, supporting informed decisions and proactive child development.
Nanit serves new parents seeking advanced infant monitoring and actionable health and sleep insights. The company's vision empowers parents with confidence and clarity, fostering optimal child development. Nanit aims to be an essential tool in modern parenting, enhancing early childhood well-being with integrated smart technology.
Nanit has raised $131.6M across 7 funding rounds.
Nanit has raised $131.6M in total across 7 funding rounds.
Nanit has raised $131.6M across 7 funding rounds. Most recently, it raised $50.0M Other Equity in December 2025.
Nanit has raised $131.6M in total across 7 funding rounds.
Nanit's investors include Holger Staude, Jerusalem Venture Partners, Upfront Ventures, GV, 8VC, ACME Capital, TJ Nahigian, Bessemer Venture Partners, Clearstone, Curie.Bio, FJ Labs, Footwork.
Nanit is a consumer health‑tech company that builds AI-powered smart baby monitors and a data-driven parental insights platform to help parents track infant sleep, breathing, growth and developmental milestones. [5][3]
High-Level Overview
Origin Story
Core Differentiators
Role in the Broader Tech Landscape
Quick Take & Future Outlook
Quick take: Nanit transformed a camera into a clinical‑grade insight platform by marrying computer vision and sleep science, and its scale of longitudinal infant data positions it to extend further into pediatric digital health—provided it navigates privacy, clinical validation, and competitive pressures successfully.[2][3][1]