The AI agent for beauty bookings.
A $60B US market. A vertical AI agent. A compliance moat. Launching in San Francisco.
Beauty bookings still run on Instagram DMs and phone tag. We built an AI agent that handles the discovery, the booking, and the California paperwork.
The market.
~$11 contribution per booking at our 15% take rate. CAC payback under 1.5 bookings.
Why this holds.
Existing platforms built for fixed-location salons. We started with California's mobile-provider rules. Booksy and Fresha can add a permit field. They can't rebuild a decade of customer behavior around a different mode. The moat is timing plus regulation plus design discipline. We started in the right place.
Sam Oram-Jones
CEO
Built the operating model from California's permit system up. Owns product, go-to-market, compliance, and fundraising. Lives in SF.
Sarah Strong
CTO
Built the SERVOS app solo: 20+ data models, 11-state booking lifecycle, Stripe Connect Express, full compliance stack. Ships every day.
How we compare.
| Feature | SERVOS | Booksy | StyleSeat | Fresha | GlossGenius |
|---|---|---|---|---|---|
| AI agent for booking and discovery | ✓ | – | – | – | – |
| Visual matching for exact style finding | ✓ | – | – | – | – |
| ASAP booking availability | ✓ | – | – | – | ✓ |
| Flexible surge pricing | ✓ | – | – | – | – |
| Driver en-route views | ✓ | – | – | – | ✓ |
| In-app translation | ✓ | – | – | – | – |
| Compliance through permit support | ✓ | – | – | – | – |
Different starting assumption.