AI-powered assessment and research application for bilingual and multilingual speech development in preschool children.
Problem Statement
The assessment of speech and language development in preschool children, particularly those growing up in bilingual or multilingual environments, remains a significant challenge for clinicians and researchers. Data are often collected on paper, assessment results are stored across multiple systems, and there is no standardised method for documenting language exposure and language use across different contexts. As a result, processing and analysing information is time-consuming, conducting large-scale studies is difficult, and distinguishing between typical multilingual development and developmental language disorders becomes increasingly complex. There is a clear need for a digital, standardised, and research-oriented solution that streamlines data collection and supports evidence-based assessment of young children's speech and language development.
EdTech + HealthTech + ResearchTech. AI-assisted assessment application combining language exposure mapping, speech samples, and automatic analytics.
DESCRIPTION
Target Audience
Speech-Language Pathologists
Kindergartens
Early intervention centers
Universities
Researchers
Parents
Unique Value Proposition
The application specifically designed for documenting and assessing speech development in bilingual and multilingual preschool children.
Why now?
The growing number of bilingual and multilingual children
Rapid advancements in artificial intelligence
The ongoing digital transformation of healthcare
An increasing demand for high-quality research data
A lack of standardised assessment and documentation tools
Competitive advantages
Designed specifically for bilingual and multilingual children
Centralised research data management
Standardised data collection
AI-assisted analysis
Research-ready export and reporting
