Haut.AI API Lets Brands Ship Custom Skin-Analysis Models
Haut.AI supplies a cloud API that ingests facial images and returns 20-plus skin parameters including porphyrin levels and sebum distribution. Brands integrate the API through REST endpoints and receive JSON responses within 800 milliseconds per image. The company also offers white-label model training so each client receives a version fine-tuned on its own image library.
This demonstrates that off-the-shelf computer-vision models can be productized as modular services. Readers see how to move from generic analysis to brand-specific outputs without building models from scratch. The result is faster iteration and measurable differentiation in wellness and med-spa apps.
Haut.AI has deployed its API for three European dermacosmetic brands, cutting their internal model-development time from nine months to six weeks while maintaining above 92 percent agreement with dermatologist labels.
Step 1: Request sandbox credentials at https://haut.ai/product/ai-skin-analysis. Step 2: POST a test image to the /analyze endpoint and inspect the returned JSON for the 20 skin parameters. Step 3: Fine-tune a private model by uploading 500 labeled images of your target demographic; Haut.AI returns a new endpoint URL within 48 hours.