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Skinive
✓ verifiedFreemium
CE-marked AI skin scanner app for early detection of common skin conditions, used by both consumers at home and dermatology clinicians.
129K visits/mo3.9K saves
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Docus AI
✓ verifiedFreemium
AI health platform that turns lab results into clear doctor and patient reports, serving diagnostic labs, clinicians and consumers.
184K visits/mo4.0K saves
Pricing
No public pricing
No public pricing
No public pricing
Free: $0
Starter: $25/mo (billed annually)
Pro: $50/mo
Ultimate: $100/mo
Core features
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- ✦AI-based real-time camera guidance for capturing skin photos
- ✦Detection across 55+ skin conditions including acne, eczema, fungal infections, and cancer risk flags
- ✦3D full-body mole mapping for tracking changes over time
- ✦Separate clinician app with a dermatological atlas
- ✦Dermatology AI API for third-party healthcare and beauty apps
- ✦Directory to find a local dermatologist
- ✦AI Makeup: Recommends makeup products based on 3-second precision tone analysis and real-time simulation.
- ✦AI Skin Pro: Analyzes fine lines and skin texture using unique 3D reconstruction technology.
- ✦Twinit Face Tech: Offers precise analysis of your beauty using digital human technology.
- ✦AI interpretation of lab and test results
- ✦Clinical reports with differential diagnosis and plans
- ✦Patient-friendly result explanations
- ✦Follow-up test recommendations and reminders
- ✦AI compliance checks (test order vs ICD codes)
- ✦Context-aware analysis using historical data
Use cases
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- →Getting an at-home pre-diagnosis before deciding to see a dermatologist
- →Clinicians improving diagnostic speed and accuracy in practice
- →Developers embedding skin analysis AI into their own health apps
- →Tracking mole changes over time with 3D mapping
- →Recommending suitable makeup products to customers based on their skin tone and type.
- →Analyzing skin aging and providing personalized skincare recommendations.
- →Enhancing customer experience in offline stores with AI-powered beauty analysis.
- →Helping labs turn results into interpretations
- →Supporting doctors' diagnostic decisions
- →Explaining results to patients
- →Reducing audit risk and claim denials
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