Our Approach.
Since the 1940s, researchers have been trying to decode baby cries1. Research shows that babies cry differently based on their different needs. Through AI, we are able to analyse the differences between cries to understand your baby according to broad categories: hungry, sleepy and uncomfortable.
By anonymously collecting and analysing thousands of baby cries, we can translate them into spectrographs, and use machine learning to continually update the model’s predictions. Unique data from your baby further helps to customise predictions according to your baby’s unique voice and routine.
See some of the spectrographic outputs from our analysis below.

HUNGRY

SLEEPY

UNCOMFORTABLE
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