AI-assisted skin analysis, progress tracking, and automatic clinical documentation — in one secure, compliance-ready workflow.
Manual notes, scattered photos, and subjective judgment calls — still the norm, and it's slowing care down.
Skin photos scattered across phones, laptops, and inboxes turn comparing patient history into a hunt.
Clinicians spend appointment time writing up findings by hand instead of treating patients.
Without consistent measurements, treatment progress comes down to memory and opinion, not evidence.
One connected workflow, photo to finished report, running entirely on AWS.
Clinicians capture a skin image in the web app. Every upload is encrypted in transit and stored in Amazon S3 under strict per-patient IAM access rules.
A computer vision model on Amazon SageMaker classifies the condition, outlines the affected area, and returns structured data in under 8 seconds.
Results and notes save to Amazon RDS (PostgreSQL), building a clean history you can compare visit to visit.
One click generates a structured PDF — findings, annotated images, and progress scores — ready for a chart or referral.
Built for medical professionals who need consistent, compliant, repeatable documentation.
Multi-provider clinics standardizing how the team documents and tracks skin conditions.
Clinical-grade documentation without enterprise-software overhead.
Clear, objective before-and-after evidence for every treatment.
Automated pre-screening, structured intake, and AI-assisted triage.
We're onboarding a small group of clinics to help shape the product — with hands-on onboarding, direct input on our roadmap, and locked-in launch pricing.
Apply for Early Access