Altoida develops digital cognitive assessments utilizing augmented reality and machine learning to evaluate brain health. This technology addresses the need for precise diagnostics in neurology, enabling early detection of cognitive decline and enhancing patient care.
Funding
$14M 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.
MVFounders
Product
Problem
Traditional methods of assessing cognitive function often rely on subjective evaluations and lack the precision needed for early detection of subtle changes indicative of neurological disorders. These methods can be time-consuming, require specialized clinical settings, and may not accurately reflect a patient's everyday cognitive abilities.
Solution
Altoida has developed a digital cognitive assessment platform that uses augmented reality (AR) and machine learning (ML) to provide more objective and sensitive measures of brain health. The platform employs AR-based tasks that simulate real-world scenarios, capturing a wide range of cognitive and motor functions. Machine learning algorithms analyze the data collected during these tasks to identify patterns and biomarkers associated with cognitive decline. This approach aims to enable earlier and more accurate detection of conditions like Alzheimer's disease and other forms of dementia, facilitating timely intervention and personalized treatment plans.
Target Audience
The primary target audience includes neurologists, geriatricians, and other healthcare professionals involved in the diagnosis and management of cognitive disorders, as well as pharmaceutical companies developing therapies for these conditions.
Features
- Augmented reality (AR) tasks that simulate real-world activities to assess cognitive function
- Machine learning (ML) algorithms for analyzing complex data patterns and identifying biomarkers of cognitive decline
- Objective and quantitative measures of cognitive performance, reducing reliance on subjective evaluations
- Sensitive detection of subtle cognitive changes, enabling earlier diagnosis of neurological disorders
- Remote administration capabilities, allowing for assessments to be conducted outside of traditional clinical settings