People, every show

Al Lagunas

Founder & CEO, Levee. On 1 show, 1 appearance. The Shows tab opens the full record on each.

founderexecutiveLinkedIn ↗levee.biz ↗

Al Lagunas is the founder and CEO of Levee, a Chicago-based startup providing AI-powered computer vision and voice tools for hotel room inspections. Drawing on his mother's background in hotel housekeeping and his experience at Amazon, he launched the company to modernize hospitality operations.

1shows
1appearances
14statements
2resolved
1supported
1contradicted
50%fully supported
1said about them ↓

Everything Al Lagunas said on any show that made the record, most notable first. Each card names its show and opens the statement there.

THE PITCH Assertion Not checkable as stated
Lagunas: Levee converted world's largest hotel brand into an active customer
“Since we launched in July, we launched a paid pilot with the largest hotel brand in the world who is now an active customer.”
Al Lagunas Sep 17, 2025 ▶ 4:18 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?
THE PITCH Assertion Not checkable as stated
Lagunas: Levee has over $30 million in its sales pipeline
“We have over thirty million dollars in our sales pipeline right now from brands that are coming from all over the world to implement our solution.”
Al Lagunas Sep 17, 2025 ▶ 4:29 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?
THE PITCH Opinion
Lagunas claims there is no data left to train desk-worker AI models
“When we look at, you know, AI, there's no more data to train these models on. There's no more data to do anything from like a desk worker perspective.”
Al Lagunas Sep 17, 2025 ▶ 20:09 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?
THE PITCH Assertion Not publicly verifiable
Lagunas: Only about 55% of hotel rooms get inspected in hospitality industry
“Little kind of, you know, no pun intended, dirty fact about the industry is that only about 55% of rooms get inspected in the hotel industry.”
Al Lagunas Sep 17, 2025 ▶ 8:11 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?
THE PITCH Insight
Lagunas: Levee's enterprise sales bottleneck is educating hotel middle management
“The challenge that we'll have in going to market is the people at the top get it. The users get it. The people in the middle, they're the ones that we have to educate.”
Al Lagunas Sep 17, 2025 ▶ 12:23 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?
THE PITCH Prediction Not checkable as stated
Lagunas targets $1M+ ARR and 96 hotels for Levee in 18 months
“Million plus ARR, 96 hotels, different brands, different management companies, but that's what we're targeting for over the next 18 months.”
Al Lagunas Sep 17, 2025 ▶ 16:44 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?
THE PITCH Disclosure
Lagunas targets a $10M to $12M valuation based on AI startup comparables
“10 to 12 from, like, market comps for post revenue, you know, AI companies.”
Al Lagunas Sep 17, 2025 ▶ 18:40 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?
THE PITCH Assertion Contradicted
Lagunas: US hospitality industry has 248,000 job openings
“In hospitality alone, there's 248,000 job openings.”
Al Lagunas Sep 17, 2025 ▶ 3:46 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?
THE PITCH Disclosure
Lagunas: Levee charges a base fee of $3 per room monthly
“Three dollars per room per month, and that's our base fee.”
Al Lagunas Sep 17, 2025 ▶ 5:59 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?
THE PITCH Assertion Not checkable as stated
Lagunas: Levee reduced average hotel room inspection time from 8 minutes to 2:51
“With the hotel, like, they were allotted eight minutes to inspect a room. What the hotel didn't know until we were, we got there is that five of those minutes were spent correcting inventory errors, not actually inspecting for cleanliness. So even just from th…”
Al Lagunas Sep 17, 2025 ▶ 8:29 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?
THE PITCH Opinion
Lagunas: Most Hotels Aspire to Have Room Inspection Programs but Cannot Afford Them
“A majority of hotels aspire to have a room inspection program. If you're lucky, you can afford to have a room inspection program.”
Al Lagunas Sep 17, 2025 ▶ 9:24 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?
THE PITCH Assertion Supported
Lagunas: Levee verifies hotel room quality in real time via video
“From the beginning, our whole design process is around having one button. One button initiates the app, and what you do is you scan the room number. That room number pulls in the quality control checklist for that room layout, and as they go through the room, …”
Al Lagunas Sep 17, 2025 ▶ 4:57 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?
THE PITCH Disclosure
Lagunas: Levee is currently burning $21k per month
“Yeah, burn right now is 21 K per month.”
Al Lagunas Sep 17, 2025 ▶ 16:57 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?
THE PITCH Disclosure
Lagunas: Levee's first product was a sensor-equipped smart cleaning bottle
“The first product we had built was a smart cleaning bottle, which was awesome. Would have been a terrible business. Used spatial mapping technology and like IMU sensors to map a surface as you cleaned it.”
Al Lagunas Sep 17, 2025 ▶ 21:21 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?

The other half of the tape: Al Lagunas's own voice is left out of every number here. 1 statement on the record names them. every mention, with the transcript →

Statements about Al Lagunas, by other people (1)

THE PITCH Assertion Not checkable as stated
Middleton and Fielding pass on Levy during post-pitch diligence
“Jesse told Al he wouldn't be moving forward due to scar tissue from other companies in the hospitality space, and Jenny passed in diligence because she didn't see a repeatable go-to-market strategy.”
Josh Muccio Sep 17, 2025 ▶ 28:13 $1.4M Ask: Can AI Fix Dirty Hotel Rooms?

One line per show, most statements first. The link opens Al's full record on that show: the calibration, argument clarity, speaking style and every statement made there.

ShowRole thereEpsStatementsRecord
THE PITCHLEDGER Founder & CEO, Levee 1 14 50% 1/2 full record on the Pitch →
Made with StarZero

Turn any episode into a week of clips.

This entire site, thousands of episodes across every show transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.