Levee: AI for Hotel Room Inspections - The Pitch
The Pitch ShowSeptember 27, 202529 min703 views
19 connectionsΒ·19 entities in this videoβLevee's Mission and Technology
- π‘ Levee is developing AI agents to address the labor shortage in frontline industries, starting with hotel housekeepers.
- π― The core problem Levee solves is the difficulty housekeepers face in reporting issues like broken amenities due to understaffing and time constraints.
- π± The Levee app uses smartphone vision and voice data, with an intuitive interface designed for ease of use by workers like Al Lagunas's mother.
- π The AI agents can inspect rooms, automatically fill out maintenance tickets, and assist in employee training.
Product Demonstration and Value Proposition
- πΉ The app works by initiating a scan of the room, pulling up a quality control checklist, and verifying items in real-time through video capture.
- π£οΈ For issues not visible, a voice transcription feature allows housekeepers to call out problems, which are then used to create tickets for the correct teams.
- β±οΈ Levee significantly reduces room inspection time, cutting it from an average of 8 minutes to under 3 minutes, thereby improving efficiency and consistency.
Business Model and Market Opportunity
- π° Levee's pricing model is $3 per room per month, with plans to expand into other digital worker roles and revenue streams like brand auditing.
- π The company has secured a paid pilot with a major hotel brand and has a sales pipeline of over $30 million.
- π Levee aims to capture 100% of rooms being inspected, addressing a market where currently only about 55% are inspected.
- π The long-term vision includes expanding into the travel side, potentially partnering with platforms like Airbnb to expedite room availability.
Investor Feedback and Funding Ask
- π° Al Lagunas is seeking $1.4 million to fund go-to-market operations, product development, and scaling.
- π Investors expressed interest in Levee's potential and Al's strong sales background but raised concerns about the valuation and the uniqueness of the AI technology.
- β οΈ Some investors felt the AI was more off-the-shelf and that the company was very early, with only one customer, leading to hesitation on the proposed valuation.
- π€ Despite some reservations, Jenny Fielding committed $50,000, and Jesse Middleton showed interest in leading the round, indicating potential for future investment after further diligence.
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19 entities
Chapters3 moments
Key Moments
Transcript109 segments
Full Transcript
Topics14 themes
Whatβs Discussed
Artificial IntelligenceHotel IndustryLabor ShortageFrontline WorkersAI AgentsRoom InspectionMaintenance TicketsVoice TranscriptionComputer VisionStartup FundingSales StrategyBusiness ModelCustomer AcquisitionHospitality Technology
Smart Objects19 Β· 19 links
CompaniesΒ· 4
PeopleΒ· 3
ConceptsΒ· 11
ProductΒ· 1