OSAZ AI provides a dermatology platform that uses a clinician‑annotated image dataset of melanin‑rich skin to power a computer‑vision model offering structured diagnostic suggestions. The solution includes an end‑to‑end workflow for secure photo capture, longitudinal tracking, and documentation, available via API integration or as a standalone system, with built‑in privacy, bias monitoring, and compliance features.
Funding
Funding not disclosed
Founders
Product
Problem
Dermatology AI tools are typically trained on datasets that underrepresent darker skin tones, leading to lower diagnostic accuracy for patients with melanin-rich skin and contributing to delayed or missed diagnoses.
Solution
OSAZ AI offers a dermatology platform built on a proprietary, clinician‑annotated image dataset focused on melanin‑rich skin. The platform provides a targeted computer‑vision model that delivers structured diagnostic support for clinicians, improving detection consistency for skin conditions in darker skin tones. An end‑to‑end workflow integrates patient intake, secure photo capture, longitudinal tracking, and documentation within a single interface. The solution is available via API for integration into existing EMR systems or as a standalone platform, and includes model licensing and research data access for qualified partners. Privacy‑first design ensures automatic face cropping, PII redaction, audit trails, and compliance with HIPAA and EU AI Act standards.
Target Audience
Primary customers are dermatology clinics, health system dermatology departments, and research institutions seeking equitable diagnostic tools for patients with darker skin tones.
Features
- Clinician‑annotated image dataset exclusively of melanin‑rich skin for reduced bias
- Computer‑vision diagnostic model delivering structured condition suggestions from clinical skin images
- Integrated workflow covering intake, secure photo capture, longitudinal tracking, and structured notes
- API delivery for seamless integration with EMR systems or use of the full platform
- Model licensing and research data access options for health systems and investigators
- Automatic face cropping, PII redaction, and per‑scan audit trails for data privacy
- Built‑in bias and fairness metrics with continuous monitoring
- Compliance with HIPAA and EU AI Act for global healthcare deployments