
WellCapped
Make every day a great hair day.
Atlanta, United States · Founded 2023 · $20K raised
- Headquarters
- Atlanta, Georgia
- Employees
- 1–10
- Founded
- 2023
- Business Model
- B2C
- Website
- wellcapped.com
- Total Funding
- $20K
- Last Round
- $20K SeedJan 2023
- Rounds
- 1
About
WellCapped is a data-driven beauty company that enables members to access a shared inventory of high-quality wigs and hair extensions through a subscription and rental model. Members can access inventory via monthly subscription, a-la-carte rentals, or purchasing through the resale program. The company uses predictive modeling to recommend styles tailored to individual members, with plans to scale this model to adjacent beauty product categories. WellCapped targets women seeking affordable access to luxury wigs without the high upfront cost of ownership, positioning itself as the first luxury wig rental subscription company.
Summary
WellCapped is a Beauty company based in Atlanta, United States, founded in 2023. It has raised $20K in total across 1 round, most recently a $20K Seed round in Jan 2023. Investors include Techstars.
Tech & App Stack
3 technologies & apps tracked
Create a free account — 10 credits a month to unlock the full tech & app stack, funding history, and valuations.
Sign up to view the funding chart
Create a free account — you'll get 10 credits a month to unlock funding history, valuations, and tech stacks.
Funding History
Jan 2023
Investors
Similar Companies

Databricks is the pioneer of the data lakehouse, a unified platform for data science, machine lea...

Quest Software (Nasdaq: QSFT) is a provider of application and information availability software ...
AI-powered enterprise cloud data management platform helping organizations integrate, catalog, go...
OneOncology empowers oncology practices with advanced tools and capabilities to help physicians d...
AI research and product company building customizable, multimodal AI systems.
Precisely is the global leader in data integrity, providing accuracy, consistency, and context in...