4Girls · raw details

Platform for Detecting Mental Distress · Tel Aviv-Yafo · Founded 2000

active Pre-Funding ← back to profile

About

Platform for Detecting Mental Distress

4Girls is a social-tech company focused on reducing mental health crises among teenagers.

The company developed MoodKnight, an AI & NLP innovative solution for the understanding and analysis of mental health distress in digital text. MoodKnight enables mental health organizations to manage the ever-increasing workload without compromising quality while reaching out to any person in need. MoodKnight uses a database of millions of youth-written texts, along with Natural Language Processing (NLP) and deep learning tools, to create software that analyzes digital inputs in real time, ranking them by types of distress and levels of severity, all with human level accuracy – providing mental health organizations the assistance they need to manage ever growing workloads, without sacrificing quality.

4Girls is also the founder and owner of a content site and social media network designed for girls between the ages of 12 and 20.

Identity

Name4Girls
Slug4girls
Type / kindstartup
Source _idagxzfmlsbGlzdHNpdGVyGAsSC05ld19Db21wYW55GICA4L6psIwKDA

Status

Statusactive
Last update2026-05-17

Location

HQ country codeIL
HQ region/districtCenter District
HQ cityTel Aviv-Yafo
HQ addressTel Aviv, Israel

Web & social

Websitehttps://www.moodknight.com/
LinkedInhttps://www.linkedin.com/company/1242224
Facebookhttps://www.facebook.com/4girls.official

Classifications

Primary sector Health Tech & Life Sciences
Sub-sectors
Health Tech & Life SciencesDigital HealthcareDigital Therapeutics
Technologies
Artificial IntelligenceNatural Language ProcessingMachine Learning
Target customers
ConsumersDemographics & FamilyTeenagers & Young AdultsWomenHealthcare & Life SciencesHealthcareProviders
Business models
B2BB2C
Tags
machine-learningwomensocial-networksmental-healthnatural-language-processingdetectiondigital-therapeuticsdigital-healthcareartificial-intelligence

Funding

Total raised
Current stagePre-Funding

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