
Headlamp Health is a digital health company specializing in AI-powered precision psychiatry to transform mental healthcare. Their platform unifies fragmented healthcare data, including clinical records, wearables, and patient-reported outcomes, to deliver personalized insights for clinicians, patients, pharma, and researchers. This multimodal AI-driven platform accelerates personalized care, supports psychiatric drug discovery, and advances research with comprehensive, ethically sourced mental health datasets. Headlamp Health serves thousands of patients and clinicians, empowering over 200 clinicians and impacting more than 5,000 patients with over 6 million data points analyzed. Their business model is primarily SaaS, providing solutions tailored for clinicians, patients, researchers, and pharmaceutical companies, with a strong emphasis on data privacy, security, and regulatory compliance.

Headlamp Health is a digital health company specializing in AI-powered precision psychiatry to transform mental healthcare. Their platform unifies fragmented healthcare data, including clinical records, wearables, and patient-reported outcomes, to deliver personalized insights for clinicians, patients, pharma, and researchers. This multimodal AI-driven platform accelerates personalized care, supports psychiatric drug discovery, and advances research with comprehensive, ethically sourced mental health datasets. Headlamp Health serves thousands of patients and clinicians, empowering over 200 clinicians and impacting more than 5,000 patients with over 6 million data points analyzed. Their business model is primarily SaaS, providing solutions tailored for clinicians, patients, researchers, and pharmaceutical companies, with a strong emphasis on data privacy, security, and regulatory compliance.
Sector: AI-powered precision psychiatry / precision neuroscience
Product: Lumos AI — multimodal, longitudinal patient-data intelligence layer
Customers: Clinicians, patients, researchers, and pharmaceutical partners
Scale (reported): Serves >200 clinicians and >5,000 patients with ~6M data points analyzed
Employees: 18
2022
Fragmented mental health data and lack of precision tools for treatment matching and psychiatric research.
2022
Digital health / Mental health software