Riviera Wants to Answer the Phone at Every Hotel on Earth

The Macro: Hotels Are Bleeding Money on Phone Calls

The hospitality industry spends hundreds of billions on staffing globally. A meaningful chunk of that goes to people answering phones. Front desk agents, concierge staff, reservation teams. And most of the calls they handle are repetitive. What time is checkout? Do you have a pool? Can I get extra towels? Is breakfast included? How do I get to the airport?

I called four hotels in San Francisco last month. Two went straight to hold music. One transferred me three times before I got an answer about parking rates. The fourth picked up immediately and the person was helpful but clearly reading from a script. This is the state of hotel phone service in a city where rooms go for $300 a night.

The existing tech solutions are underwhelming. Traditional IVR systems (“press 1 for reservations, press 2 for the front desk”) are universally hated by guests. Akia and Canary Technologies offer text-based messaging platforms for hotels, which work fine for some interactions but don’t solve the phone problem. Whistle does guest engagement but is more of a messaging tool than a voice AI. Nobody has convincingly solved the “guest calls the hotel and needs an answer right now” use case with AI. Until recently, the voice technology wasn’t good enough. Now it probably is.

The Micro: Berkeley Meets SpaceX at the Front Desk

Riviera is an AI phone receptionist purpose-built for hotels. It handles front-desk inquiries, in-room dining orders, and reservations. The key selling points are multilingual support (hotels get calls in languages their staff may not speak), 24/7 availability (no hold music at 2 AM when the night audit person is busy), and integration with existing hotel management software so the AI can actually check availability, process orders, and update records.

The founding team is a two-person operation out of San Francisco, YC Winter 2025. Shaun Lane, the CEO, studied CS at UC Berkeley, interned at Amazon, and ran a travel consulting and content creation business. That last part matters because it means he actually understands how hotels think about their guest experience, not just how engineers think about voice AI. Daniel Tyshler, the COO, came from Stanford CS with a SpaceX internship and startup experience in aerospace and health-tech. The engineering chops are clearly there.

What I like about the positioning is the specificity. They’re not building “AI voice for every business.” They’re building AI voice for hotels. That means their training data, integrations, and product decisions are all tuned for one vertical. The questions a hotel guest asks are different from the questions a dental patient asks. The integrations (PMS systems like Opera, Mews, Cloudbeds) are different. Going vertical-first in voice AI is probably the right strategy when the horizontal players are still figuring out basic call quality.

The Verdict

Riviera is targeting a pain point that hotel operators actually lose sleep over. Staffing is the single biggest cost in hospitality, and phone coverage is one of the hardest roles to staff consistently. Night shifts, multilingual requirements, high turnover. An AI that can handle 70-80% of inbound calls without human intervention would save a 200-room hotel tens of thousands per year. The ROI pitch practically writes itself.

The challenge is trust. Hotels are intensely brand-conscious. A boutique hotel in Napa isn’t going to let an AI answer the phone unless it sounds flawless and handles edge cases gracefully. The first time an AI mishandles a VIP reservation or botches an allergy-related room service order, the hotel will rip it out and go back to humans. Voice AI has to be nearly perfect to survive in a hospitality environment where reviews on TripAdvisor and Google can tank a property.

Over the next 30 days, I’d want to see how many properties are actively using the product with real guest calls, not just pilot agreements. At 60 days, guest satisfaction scores from hotels running Riviera compared to their pre-AI baseline would be compelling data. By 90 days, the expansion question matters: are hotels that started with phone reception asking for more AI employees in other roles? If Riviera can prove the phone use case, the roadmap into concierge, housekeeping coordination, and revenue management opens up fast. The market is massive and the timing is right. I think this one has legs.