LittleOne.Care · raw details

AI Support Platform for Parents of Infants · Tel Aviv-Yafo · Founded 2018

active Series A ← back to profile

Highlights

Profile claimed by owner

About

AI Support Platform for Parents of Infants

LittleOne.Care has developed a personalized AI platform designed to help parents understand why their baby is crying and to improve the child’s safety, well-being, development, and happiness. The company’s solution provides parents with actionable parenting suggestions based on synchronized deep learning of the baby’s motions, sounds, and vital signs. The solution is based on four data sources: the baby’s motions, the baby’s sounds, voice tagging, and context.

LittleOne.Care’s device and application are based on artificial intelligence. The device clips to the baby’s clothes and monitors vital signs, listens to (but does not record) the sounds the baby makes, and analyzes various tones and vibrations to alert the parents as to why the baby is crying. It also analyzes the baby’s behavior, measuring factors such as sleep patterns, how much television the baby has watched, and how active the baby has been.

Identity

NameLittleOne.Care
Sluglittleone-care
Type / kindstartup
Crunchbase IDLittleOne.Care
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICA4JKljJMLDA

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityTel Aviv-Yafo
HQ addressBen Tsiyon Boulevard 7, Tel Aviv-Yafo, Israel

Web & social

Websitehttps://www.littleone.care/
LinkedInhttps://www.linkedin.com/company/20555634
Twitter / Xhttps://twitter.com/littleonecare
Facebookhttps://www.facebook.com/little1care
Instagramhttps://www.instagram.com/littleone.care

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcarePatient Remote MonitoringMedical DevicesMedical Monitors
Technologies
Platforms & InterfacesMobileArtificial IntelligenceDeep Learning
Target customers
ConsumersDemographics & FamilyBabiesParents
Business models
B2C
Tags
data-analyticsmonitoringmhealthdeep-learningartificial-intelligencechild-developmentmedical-devicesreal-timedigital-healthcareremote-monitoringactionable-insightswell-beingvital-signswellnessparentsbabiesalert-systemmobile-applicationspersonalizationwearablewearable

Funding

Total raised$2.4M
Current stageSeries A

Raw source document

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