See how shadesreally lookon real skin
No filters. No smoothing. No guesswork. Surefase Core is a physics-driven shade-matching engine built on real-world lighting models, color science, and diverse skin data.
Built for beauty brands ready to solve shade matching. Privacy-first by design.
Why shade matching fails today
Current Virtual Try-On stacks weren't built for real-world lighting, sensor differences, and diverse skin tones. They rely on simple overlays that ignore the physics of light interaction.
Lighting lies
Indoor lighting creates color shifts that standard cameras can't compensate for, leading to false matches and disappointed customers.
Camera sensors distort
Smartphone cameras aggressively smooth skin and alter tones to make photos 'pleasing' rather than accurate.
Biased training data
Legacy datasets heavily favor lighter skin tones, resulting in poor performance and accuracy on deeper complexions.
How Surefase Core works
Three steps to accurate shade matching, powered by physics and color science.
Measure reality
We model the specific light environment, skin topography, and camera response function in real-time.
Correct the distortion
Our physics engine recalibrates the input using unbiased spectral data to recover true color values.
Render the true shade
We generate a hyper-realistic preview that reacts naturally to light changes and movement.
Three steps to perfect shade matching
A seamless process powered by physics, color science, and machine learning working in harmony.
Capture
Environment-Aware Image Acquisition
Our SDK captures a single image while simultaneously analyzing ambient lighting conditions, device camera characteristics, and environmental factors.
- Automatic white balance detection
- Light source identification (natural, fluorescent, LED)
- Camera sensor response curve mapping
- Motion blur and noise assessment
Built for precision at every layer
Every feature designed to eliminate guesswork and deliver true-to-life shade accuracy across all skin tones and lighting conditions.
Physics-Based Rendering
Our proprietary engine models light interaction at the spectral level, accounting for subsurface scattering, melanin distribution, and surface reflection.
True Color Science
Built on CIE color standards and calibrated against Pantone references, ensuring mathematical precision in every shade recommendation.
Diverse Skin Library
Trained on 50,000+ skin samples across Fitzpatrick I-VI, ensuring accurate performance for every skin tone and undertone.
Adaptive Lighting
Real-time environment detection adjusts for natural daylight, warm indoor lighting, and mixed conditions.
Device Calibration
Automatic correction for smartphone camera color response functions, eliminating sensor-induced distortion.
Multi-Layer Analysis
Examines epidermis, dermis, and subcutaneous layers for comprehensive skin tone characterization.
Real-Time Processing
Sub-100ms inference time enables seamless integration into live camera feeds and AR experiences.
Cloud & Edge Ready
Deploy on-device for privacy or leverage our cloud API for maximum accuracy. Your choice.
Privacy First
No face storage, no biometric fingerprinting. We process color data only, never identity.
Global Shade Support
Compatibility with 50+ major cosmetics brands and 10,000+ individual product shades worldwide.
Analytics Dashboard
Track match accuracy, conversion uplift, and return reduction with comprehensive reporting.
Low-Light Excellence
Advanced noise reduction and light boosting maintains accuracy even in challenging conditions.
Why Surefase
Not all shade matching is created equal
See how Surefase Core compares to traditional color pickers and basic AI overlay solutions.
| Feature | S Surefase Core | T Traditional VTO | AI Basic AI |
|---|---|---|---|
| Physics-based light modeling | |||
| Real-time environment correction | |||
| Multi-layer skin analysis | |||
| Diverse skin tone accuracy (Fitzpatrick I-VI) | |||
| Camera sensor correction | |||
| Spectral color reconstruction | |||
| Sub-100ms processing | |||
| Privacy-first (no face storage) | |||
| Cross-brand shade matching | |||
| Undertone-specific recommendations |
Transform your conversion and returns
- Seamless integration with existing e-commerce stacks
- Less waste and more sustainable inventory management
- Higher customer confidence at checkout
- Drastically lower shade-mismatch returns
beauty orders are returned due to shade mismatch
consumer concern when shopping beauty online is shade accuracy
global beauty market with shade mismatch as largest unsolved problem
Why Partner With Us
Join the future of shade matching
Be among the first beauty brands to offer truly accurate, physics-based shade matching to your customers.
beauty orders returned due to shade mismatch
global beauty and personal care market
consumer concern: shade accuracy online
Solve the $600B Problem
Shade mismatch is the beauty industry's largest unsolved challenge. Be among the first brands to offer physics-accurate shade matching.
Privacy-First Architecture
Built with data protection at its core. GDPR-compliant processing with no permanent image storage.
Seamless Integration
Our B2B API integrates with existing e-commerce platforms, kiosks, and virtual try-on experiences in days, not months.
Built for Every Skin Tone
Trained on diverse skin data representing the full spectrum of depths, undertones, and textures — not just the ones legacy systems favor.
Reduce Returns & Waste
Help customers find their perfect match the first time, reducing costly returns and environmental waste from shade mismatches.
Early Adopter Advantage
Join our pilot program and shape the future of shade-matching technology. Early partners get priority access and custom integrations.
We're working with forward-thinking beauty brands to bring honest, reliable shade matching to the industry. Interested in being an early adopter? Get in touch to discuss your needs.
Ready to transform shade matching?
Join forward-thinking beauty brands bringing honest, reliable shade matching to their customers. Let's discuss how Surefase Core can work for you.
Pre-seed stage company. Based in London, UK.