NeuraLight
Financials
Estimates*
USD | 2022 | 2023 |
---|---|---|
Revenues | 3.6m | 4.6m |
% growth | - | 28 % |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
$5.5m | Seed | ||
* | $25.0m | Series A | |
Total Funding | AUD47.1m |
Related Content
Recent News about NeuraLight
EditNeuralight.ai is a cutting-edge startup focused on revolutionizing the field of neurology through the use of artificial intelligence (AI). The company has developed an AI-driven platform designed to accelerate and enhance drug development, patient monitoring, and precision care for individuals with neurological disorders. By leveraging oculometric data—measurements related to eye movements—captured using a standard webcam, Neuralight.ai aims to provide early diagnosis, accurate monitoring, and personalized treatment plans for neurological conditions.
The primary clients of Neuralight.ai include pharmaceutical companies, healthcare providers, and research institutions. These clients benefit from the platform's ability to identify novel biomarkers—biological indicators of disease—thereby improving the efficiency and effectiveness of clinical trials and patient care. The company operates in the healthcare and biotechnology markets, specifically targeting neurological disorders such as Alzheimer's Disease, Amyotrophic Lateral Sclerosis (ALS), and Multiple Sclerosis.
Neuralight.ai's business model revolves around offering its AI platform as a service. The company generates revenue through subscription fees, licensing agreements, and partnerships with pharmaceutical companies and healthcare providers. By providing a scalable and cost-effective solution, Neuralight.ai enables its clients to achieve better outcomes in drug development and patient care.
In summary, Neuralight.ai is transforming the landscape of neurology by digitizing the evaluation and treatment of neurological disorders. The company's innovative use of AI and oculometric data aims to improve the lives of over a billion people worldwide who suffer from these conditions.
Keywords: AI-driven, neurology, drug development, patient monitoring, precision care, oculometric data, biomarkers, early diagnosis, neurological disorders, healthcare technology.