Senseye provides a smartphone‑based diagnostic platform that uses computer‑vision analysis of eye‑derived signals to objectively assess PTSD and related mental health conditions. Its patented deep‑learning models extract autonomic biomarkers from standard video, delivering clinically validated results in minutes without the need for specialized equipment or lengthy interviews, and enable clinicians to establish baselines and track outcomes over time.
Funding
$11.8M 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.
THFounders
Product
Problem
Current mental health assessments rely heavily on self‑reported questionnaires and lengthy clinical interviews, leading to misdiagnosis, delayed treatment, and long wait times for patients. The lack of objective, rapid diagnostic tools makes it difficult to establish clear baselines and track progress for conditions such as PTSD.
Solution
Senseye offers a smartphone‑based diagnostic platform that analyzes eye‑derived signals of the sympathetic nervous system to provide an objective assessment of PTSD and related disorders. Using patented computer‑vision and deep‑learning algorithms, the system extracts autonomic biomarkers from video captured by a standard phone camera, delivering a clinically validated result in minutes. The platform operates without specialized hardware, enabling remote or in‑clinic use and reducing the need for extensive interviews. Results are compared against a curated reference database of peer‑reviewed literature, ensuring alignment with established scientific standards. Clinicians receive a clear, quantifiable baseline and can monitor changes over time to personalize treatment plans.
Target Audience
Primary customers are mental health clinicians, telehealth providers, and healthcare systems seeking rapid, objective diagnostics for PTSD and related conditions.
Features
- Smartphone video capture of eye movements and pupil dynamics to infer autonomic nervous system activity
- Patented deep‑learning models for signal extraction and PTSD classification, fully documented and human‑supervised
- Immediate diagnostic output within minutes, eliminating hours‑long traditional assessments
- Cloud‑based reference database linking algorithmic conclusions to peer‑reviewed research for validation
- Telehealth‑ready workflow that requires no additional equipment or capital investment
- Continuous outcome tracking to monitor patient progress throughout treatment