Building an AI-powered sales intelligence platform for the medical aesthetics industry

Hospitals and pharmacies have centralized registries — definitive databases of who exists, where they are, what they do. The medical aesthetics industry has nothing like that. There are fifteen thousand-plus med spas, cosmetic dermatology practices, and plastic surgery centers across the U.S., and nobody has a clean map of the market. If you sell devices or injectables into this space, you're working blind — calling accounts that don't fit, missing signals when clinics add new services, guessing at competitor penetration across your territory.

MedspaDB is designed to make that market legible. The platform crawls public clinic websites on a weekly cycle, runs NLP models to extract services, brands, and location data, then normalizes everything into a structured taxonomy — distinguishing "neurotoxins" broadly from specific products like Botox or Dysport. The real value is the change detection layer: each week's snapshot gets diffed against the last to generate account-level signals. A clinic just added CoolSculpting to their site? That's a trigger for the competing device rep. A practice dropped a brand from their services page? Worth a call.

The same scraping-plus-structured-AI-analysis approach I built for JobRadar translates directly here — just pointed at a different industry.

Visit: MedspaDB.com