Haut.AI brings objective skin measurement to product development at scale
Haut.AI, a company that measures skin using computer vision and AI, is showing its technology to product development teams at New York Suppliers' Day 2026 (Booth 476). The platform addresses a persistent problem in beauty and wellness R&D: skin evaluation still relies heavily on subjective expert grading, limited sample sizes, and controlled lab conditions that don't scale.
For teams building efficacy claims and consumer products, this creates friction. Clinical studies take longer, data varies between evaluators, and results don't easily transfer to real-world conditions where consumers actually use products.
How the measurement layer works
Haut.AI's core technology, AI Skin Analysis, delivers clinically validated skin biomarkers from a single image captured on a smartphone or standard device. The system replaces subjective grading with objective, reproducible measurements.
Product development teams use this to:
- Quantify skin condition with dermatology-grade precision
- Run clinical studies more efficiently and at larger scale
- Track longitudinal skin changes over time
- Generate audit-ready data for product claims
The same measurement layer applies to consumer-facing experiences. By analyzing skin from a personal device, brands can match products more accurately and deliver personalized recommendations grounded in actual skin data rather than questionnaires alone.
Simulation and interpretation tools
Haut.AI offers two additional tools built on top of the measurement platform. SkinGPT uses generative AI to create photorealistic simulations of how skin changes over time based on products, treatments, or environmental factors. This helps product teams translate clinical findings into visual narratives for internal decisions and consumer communication.
Skin.Chat adds a conversational interface that interprets skin measurements and generates personalized skincare guidance through dialogue. The tool maintains scientific consistency while making complex data accessible to consumers across digital channels.
Current adoption
Ulta Beauty, Givaudan, Beiersdorf, Grupo Boticário, Neutrogena, and Noom already use the platform. The company says this helps teams bring greater precision and consistency to product development and consumer experiences.
Product development leaders interested in a demo can book a meeting in advance.
For teams working on AI for product development, understanding how measurement tools integrate into R&D workflows is increasingly relevant as efficacy claims face stricter scrutiny and scale demands grow.
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