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HairGrade

Know your hair loss stage in 30 seconds.

Scan Complete
01
Snap
02
Analyze
03
Plan
Norwood Scale
II
Early Onset
AI Metrics
Confidence89%
Hair Density72%
SeverityLow
Treatment Plan
Evidence-based protocol
Personalised to Stage II
Track progress over time
85-95%
Accuracy
50M+
Cases trained

1The Problem

Over 85% of men and 50% of women experience hair loss, yet most have no idea what stage they are at or what interventions are appropriate. Self-diagnosing from scattered forums and conflicting blog posts leads to wasted money on treatments that don't match the actual stage.

2The Solution

HairGrade uses computer vision trained on clinical dermatology datasets to classify hair loss against the Norwood (male) and Ludwig (female) scales with 85-95% accuracy—matching the agreement rate of practicing dermatologists. The result is an immediate, jargon-free stage classification paired with a treatment plan grounded in peer-reviewed evidence, not marketing.

Key Features

Clinical-Grade AI Classification

Norwood & Ludwig scale analysis at 85-95% accuracy, matching dermatologist-level agreement in controlled studies.

Evidence-Based Treatment Plans

Recommendations mapped to peer-reviewed research. No supplements with zero evidence, no generic advice—stage-specific protocols.

Progress Tracking

Before-and-after comparison over time with compliance tracking, so you can see what is actually working.

Privacy by Design

Photos are analyzed in-session and deleted immediately. Nothing is stored, nothing is shared.

Under the Hood

React NativeExpoSupabaseOpenAI VisionTypeScriptTailwind CSS