Provides an FDA-authorized tool, EarliPoint™, that analyzes children's looking behavior during social interaction videos to detect early signs of autism. This technology enables clinicians to make objective, data-driven diagnoses, improving early identification and treatment accessibility for children on the autism spectrum.
Funding
$41M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
NNVIFounders
Product
Problem
Early diagnosis of autism spectrum disorder (ASD) is often delayed due to the subjective nature of traditional diagnostic methods and the limited availability of specialists, leading to delayed intervention and support for affected children. Current diagnostic processes rely heavily on behavioral observation and caregiver interviews, which can be inconsistent and lack objective measures.
Solution
EarliTec Diagnostics offers EarliPoint™, an FDA-authorized evaluation system that uses objective, data-driven analysis of a child's looking behavior during social interaction videos to aid in the diagnosis of ASD. The technology captures and analyzes subtle, often imperceptible, patterns in a child's visual engagement, providing clinicians with robust data to support their diagnostic decisions. By quantifying social-visual engagement, EarliPoint™ aims to improve the accuracy and efficiency of early ASD diagnosis, enabling earlier access to intervention services and personalized treatment plans. The system helps clinicians make more informed decisions, leading to improved outcomes for children at risk of ASD.
Target Audience
The primary target audience includes clinicians, pediatricians, and other healthcare providers involved in the diagnosis and assessment of autism spectrum disorder in young children, as well as parents and caregivers seeking early and accurate diagnoses for their children.
Features
- FDA-authorized tool to aid in the diagnosis and assessment of Autism Spectrum Disorder (ASD) in children ages 16-30 months.
- Eye-tracking technology captures and analyzes looking behavior during standardized social interaction videos.
- Provides objective, quantitative data on social-visual engagement, reducing reliance on subjective observations.
- Empowers clinicians with robust data to reach a diagnosis with confidence and objectivity.
- Facilitates earlier identification of ASD, enabling timely access to intervention and support services.
- Supports the development of tailored treatment plans based on individual needs and strengths.