TELL Toolkit utilizes AI-driven analysis of natural speech patterns to provide objective metrics for early detection of brain disorders and neurocognitive decline. This technology offers real-time insights for clinical and educational settings, enhancing assessments of language development and cognitive health.
Funding
Funding not disclosed
Founders
Product
Problem
Early detection of brain disorders and neurocognitive decline relies on subjective assessments. Traditional methods lack objective metrics for evaluating language development and cognitive health.
Solution
TELL Toolkit provides an AI-driven analysis of natural speech patterns to generate objective metrics for assessing neurocognitive function. The web-based platform employs strategic tasks to elicit speech samples, which are then analyzed using proprietary algorithms. TELL provides real-time results and immediate data, offering robust markers of brain disorders and neurocognitive decline in clinical settings, as well as efficient predictors of language development and school performance in educational settings. The platform is multi-language and has been validated in diverse populations.
Target Audience
The primary users are clinicians and educators seeking objective and efficient methods for assessing neurocognitive function and language development. The platform also caters to researchers requiring immediate data for analysis.
Features
- AI-driven analysis of natural speech patterns
- Web-based platform accessible from any device
- Strategic tasks designed to elicit relevant speech data
- Multi-language support
- Validated in diverse populations
- Real-time results and immediate data analysis