Case Study: Nanit accelerates time-to-market with MissingLink

How Nanit Used MissingLink to Streamline Deep Learning Training and Accelerate Time-to-Market

Nanit, a consumer baby sleep monitoring company, used MissingLink’s deep learning platform to tackle the challenge of running hundreds of concurrent computer vision experiments while managing growing volumes of data, complex model versions, and strict privacy requirements. As the team scaled, its data scientists were spending too much time on infrastructure, data tracking, and experiment management instead of core research.

With MissingLink, Nanit implemented an automated deep learning lifecycle for data versioning, experiment tracking, querying, and reproducibility, all while keeping sensitive data on its own premises. MissingLink helped Nanit accelerate time-to-market, improve team productivity, and spend less time on infrastructure and more time on research, significantly increasing R&D pace and enabling faster product improvements and new features.

Nanit

Tor Ivry

Co-Founder & Chief Technology Officer