Private AI skin screening, launching in India
AI-Powered Skin Cancer Screening From Your Smartphone
Scan suspicious skin lesions using advanced computer vision. Receive risk insights, monitor changes over time, and take action earlier-all while keeping your data private.
Privacy FirstOn-Device AILaunching in IndiaFree Early AccessResearch-Based
Important:Epiderm supports screening and monitoring. It does not diagnose cancer or replace a dermatologist.
No automatic uploadsAnalysis is designed to run locally unless you choose to share data.
Epiderm
Live scan
9:41
Guided capture active
Risk insightMonitor closely
14 secLocal inference
3 scansHistory saved
Prototype / betaBuilt transparently with validation and limitations clearly communicated.
Trust architecture
Why early detection matters
Early Detection Saves Lives
Skin cancer outcomes depend heavily on timely attention. Epiderm helps people notice risk signals earlier and have better conversations with clinicians.
>99%
5-year relative survival rate for localized melanoma in recent SEER data cited by the American Cancer Society.
1M+
Skin cancer affects more than a million people globally each year; WHO reports 2-3 million non-melanoma cases and 132,000 melanoma cases annually.
Seconds
To perform an AI screening once an image is captured, making routine monitoring easier to repeat and act on.
How Epiderm works
A simple monitoring loop for suspicious lesions
Capture, analyze, understand, and monitor. The experience is built for patients who need clarity without medical jargon.
Step 1
Capture
Take a photo of a suspicious skin lesion with guided framing, distance, and lighting prompts.
Step 2
Analyze
AI evaluates visual lesion characteristics through a mobile-friendly classification pipeline.
Step 3
Understand
Receive easy-to-understand risk insights with clear language and next-step guidance.
Step 4
Monitor
Track changes over time and compare new scans against your saved lesion history.
Product showcase
Built For Everyday Skin Monitoring
App-style screens show the intended user experience across scan capture, result education, history, comparison, and monitoring.
Camera Scan
Guided capture
AI Result
Plain-English insight
Monitor closely
Lesion History
Timeline view
Comparison View
Before and today
Monitoring Dashboard
Long-term tracking
4 lesions tracked
Next scan due
Why Epiderm
Premium technology, patient-first defaults
The product is designed to be useful before it asks for trust: private, fast, understandable, and built for repeated monitoring.
On-Device AI
Designed for local inference so screening can happen without sending images to a server by default.
Privacy First
Consent-based sharing and clear ownership principles keep sensitive skin data under user control.
Fast Analysis
Lightweight mobile architecture helps users get risk insight in seconds after capture.
Change Detection
Comparison workflows help highlight shifts in size, color, and appearance over time.
Long-Term Tracking
Saved lesion history supports a more complete picture than a single scan.
Accessible Anywhere
Built for smartphone-first use, including communities where dermatology access may be delayed.
Future Doctor Integration
Planned sharing workflows can help users bring organized scan history to clinicians.
Offline Capability
On-device architecture supports useful experiences even when connectivity is limited.
AI technology
Built On Modern Medical AI
Epiderm uses a mobile-first computer vision pipeline that can be understood by patients, evaluated by clinicians, and discussed with investors.
EfficientNetB0 Architecture
A lightweight model family designed for mobile computer vision, using efficient blocks suitable for on-device inference.
HAM10000 Dataset
A public research dataset of 10,015 dermatoscopic images across common pigmented lesion categories.
Future Model Improvements
Planned work includes broader skin tone representation, external validation, dermatologist review, and calibration improvements.
Training dataHAM10000 images and lesion labels
PreprocessingResize, normalize, augment, balance
ModelEfficientNetB0 image classifier
EvaluationHoldout testing and error review
Mobile appCompressed model packaged locally
InferenceRisk insight without automatic upload
10,015HAM10000 images
7Lesion categories
LocalInference workflow
Validation
Built Responsibly
Healthcare AI earns trust through transparency. Epiderm avoids inflated claims and keeps limitations visible.
Current Metrics
Prototype metrics should be treated as development indicators, not clinical performance claims.
Dataset Information
HAM10000 is useful for research but does not represent every camera, skin tone, lesion type, or real-world condition.
Testing Methodology
Evaluation should include held-out test data, false-positive review, false-negative review, and subgroup analysis.
Model Limitations
Image quality, lighting, body location, skin tone, lesion rarity, and camera differences can affect results.
Known Constraints
The current experience is prototype / beta and requires future clinical validation before medical deployment.
Epiderm is a screening and monitoring tool. It is not a diagnostic device and should not replace professional medical advice.
Privacy and security
Your Skin Data Stays Yours
Skin images are sensitive health data. Epiderm is designed around local processing, consent-based sharing, and user ownership from the beginning.
Local processing
Screening is designed to run on the phone where possible.
User ownership
Users control their scans, history, and deletion choices.
Consent-based sharing
Doctors or partners only receive data after explicit user action.
Future encryption
Encryption support is planned for synced and shared workflows.
Processed locally
No automatic upload. No hidden sharing. No black-box data handoff.
Team and mission
Why We Built Epiderm
Epiderm exists to make preventive skin monitoring more accessible, especially where specialist access can be delayed. The mission is to turn everyday smartphones into a private first step for noticing change earlier.
Mission
Help people understand suspicious skin changes earlier and seek care with more confidence.
Vision
A privacy-first preventive skin health platform connected to dermatologists, researchers, and healthcare systems.
Clinical collaboration goals
Partner with dermatologists to validate workflows, review edge cases, and improve safety.
Advisor structure
Medical, AI, privacy, and healthcare operations advisors can be highlighted as they join.
Roadmap
From prototype to clinical partnerships
The roadmap makes the company trajectory clear for users, clinicians, partners, and investors.
Core scan, result, and monitoring flows.
Early users, usability learning, and safety feedback.
Measure retention, comprehension, and conversion.
Dermatologist-led review and validation planning.
Clinics, research partners, and care pathways.
India launch, then global expansion.
FAQ
Answers before you join
Clear answers reduce hesitation and help people understand what Epiderm can and cannot do.
No. Epiderm is a screening and monitoring tool. It does not diagnose cancer and should not replace a dermatologist or professional medical advice.
The product is designed for on-device inference so core screening can work without continuous internet access.
No automatic uploads are planned. Sharing should happen only when you explicitly consent, such as sending a scan history to a doctor.
Current model results are prototype metrics, not clinical claims. Epiderm will need further testing and clinical validation before any medical deployment.
The research pipeline is based around common pigmented lesion categories represented in HAM10000. Real-world support may be limited during beta.
Early access is free. The goal is to keep core preventive monitoring accessible.
Future doctor-sharing workflows are planned, but they should be controlled by you and based on explicit consent.
The beta is planned for modern smartphones first. Exact device support will be announced closer to release.
Yes. User ownership and deletion controls are part of the privacy-first product direction.
You save scans of the same lesion over time. Epiderm organizes the history and helps compare visible changes between scans.
Early access
Join The Future Of Skin Health
Get early access to AI-powered skin monitoring and help shape the future of preventive healthcare.
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