Utilizing Algorithms to Promote Hair and Scalp Health

InteliSpark client, HairDays, wins a phase I SBIR (Small Business Innovation Research) grant from the National Science Foundation to develop a data-driven hair intelligence platform that aims to improve hair and scalp health by providing user-specific hair recommendations. HairDays Founder and CEO, Dr. Tiffany St. Bernard, will lead this phase I project.

Individuals, particularly those in underserved, minority communities, often lack access to quality products and care information for their hair type. Hair and scalp issues such as sudden hair loss, burns, breakage, and rashes often stem from ill-suited products and care practices. Furthermore, these issues extend beyond hair and scalp health to an overall decline in mental and physical health.

HairDays, a technology-driven, data company based in Houston, TX, will use big data to provide users hair and scalp recommendations and match them with suitable products and care regimens that will promote hair and scalp health and mitigate issues. The technology will utilize proprietary algorithms and leverage data from peer-reviewed publications and scientific databases to create unique hair profiles for users. As a “personal hair diary,” as the company calls it, users will be able to track and map everything about their hair including hair type, ingredients in products, treatment regimens and product usage. Additionally, the data and user engagement with the platform will inform brands, healthcare providers, and insurance companies with deeper insights into their customers’ hair care-related goals, reoccurring problems, and health conditions.