Your phone rings at 2AM on a Friday in July. A family of four is driving through rural Maine, looking for a room. Nobody answers. They book on Expedia instead — you pay 18% commission. Or worse, they drive on. That $150 is gone forever.
What StayHive Does
- AI voice agent answers every call, 24/7/365 — books rooms, sends door codes, confirms payments. Real conversations, not phone trees.
- 31 AI agents manage operations end-to-end: housekeeping, dynamic pricing, guest communication, analytics, email triage, and revenue optimization.
- Multi-tenant SaaS platform: each property gets its own isolated AI system with tenant-scoped data, row-level security, and dedicated agent configuration for $199–$499/month.
Why Now
- AI inference costs dropped 90% since 2023. Voice AI reached production quality in 2025. What cost $50,000/year in custom development now costs $15/month in API calls.
- 50,000+ US independent properties have zero AI capability. The hospitality workforce gap is widening — rural motels cannot hire night desk staff at any price.
Market Size
$4.3B US independent lodging technology market.
50,000+ properties with 10–80 rooms.
95% untouched by AI.
StayHive targets 500 properties in Year 2 at $299 average MRR = $1.8M ARR.
Traction
1 Live Property
12 GA Features
31 AI Agents
97.2% AI Pass Rate
Unit Economics
4.3x
Year 1 ROI
Recovery of missed bookings alone
21x
LTV / CAC
$10,764 LTV vs $500 target CAC
~85%
Gross Margin
AI costs ~15% of subscription revenue
The Ask
We are raising $500,000 – $750,000 in pre-seed capital.
Pre-seed round · SAFE or convertible note
Use of Funds
40%
Pilot properties (5–10 properties, assisted onboarding)
25%
Engineering (1 hire, infrastructure scaling)
20%
Sales & Marketing (first sales hire)
15%
Operations (6 months runway buffer)
The Thesis
StayHive is the first in a series of AI-native solutions targeting industries with surmountable barriers to automation. Hospitality is first because the workforce gap is real, the data is structured, and the ROI is immediate. The pattern repeats: auto repair, veterinary, dental — same structured data, same predictable interactions, same workforce gaps.