Staykeasy is an independent AI execution layer that can sit across different hotel touch points - website, pre-stay, in-room and messaging, understand those intentions and turn them into real services and transactions.
This opens an interesting economic opportunity not only for hotels, but also resorts, and restaurants.
A hotel doesn’t need to own a service to create value from the demand for that service.
A hotel without a spa can connect the guest with the spa 500 feet away.
A hotel without a restaurant can monetize the dining demand it already sends into the city every day.
The same applies to:
• airport transfers and local transportationSome guests need a clear answer. Some are ready for the right service. Some need your team to step in. StayKeasy turns each moment into the next best action, with the context your business needs.
A driver taking guests to our hotels also needed international travelers to discover and book his services. He doesn’t speak 10 languages. We put our layer on his business.
Same with private jet services. Same with restaurants in city centers that want international travelers but cannot communicate, qualify demand and sell 24/7 in every guest’s language.
Hospitality became our first wedge, but it created a many other possibilities
The underlying problem is the same everywhere: businesses have supply, visitors have intent, but there is friction between the two.
The StayKeasy layer sits in the middle. It understands the person, the context and the intent, finds the right solution, qualifies the opportunity and moves the commercial process toward execution.
Not another FAQ bot.
Every answer is grounded in your business knowledge. The agent is constrained to what you've published, not the open internet.
Your services, your control.
Owned services and partner offers stay under your control. You decide what gets recommended and where guests land.
Owned services come first.
When a guest's intent maps to something you sell, the agent recommends it ahead of any partner alternative.
Human follow-up when it matters.
When a request needs judgment, the conversation and context are routed to your team. The agent doesn't pretend to be human.