Al Lagunas pitches Levy, an AI-powered application designed to help frontline hotel workers inspect rooms, file maintenance tickets, and perform training using computer vision and voice commands.
Levy aims to solve the massive labor shortage and inconsistent quality control in the hospitality industry, where only 55% of rooms are typically inspected.
The company has early traction, including a paid contract with a major hotel brand, a $30M sales pipeline, and upcoming pilots, but is seeking a $1.4M seed round at a $10-12M valuation.
Despite initial investor interest in the founder's hustle and the clear market need, all VCs ultimately passed due to concerns over the high valuation, the lack of a repeatable go-to-market strategy, and the inherent difficulties of selling into the hospitality sector.
12 quotes
Concerns Raised
Lack of a clear, repeatable go-to-market strategy.
High valuation ($10-12M) relative to current ARR.
The hospitality industry is notoriously difficult to sell into with long sales cycles.
Potential lack of a deep technology moat, as the AI models could be seen as 'off-the-shelf'.
Opportunities Identified
Addressing a massive, underserved market of frontline workers facing a significant labor shortage.
Proven ROI for customers by drastically reducing room inspection times (from 8 to 2 minutes).
Strong early traction with a major hotel brand and a $30M sales pipeline.
Potential to expand into adjacent services like brand auditing, inventory management, and optimizing room availability.