Lance.

Lance builds AI agents that staff hotels. The agents pick up guest calls, respond over SMS and email, and then do the work the request requires inside the hotel's existing software. That can mean opening a work order, modifying a reservation, or coordinating housekeeping. The request gets completed instead of logged.

Hotels run on old systems. The property management software predates modern APIs, and so do the reservation tools and task platforms. None of it is getting replaced anytime soon. Lance's agents operate that software visually, on screen, the way a front-desk employee would, with no custom development and no vendor integration projects. One customer quoted on the company's site says Lance cut front desk call volume by more than 30 percent.

What they're building

Lance describes the product as a multimodal AI workforce, with voice, SMS, email, and vision in one system. Guests see the conversation layer. The harder part comes after the guest hangs up, when the agent navigates the property's management system, along with its reservation tools and task platforms, and executes the request end to end.

The mechanism is computer use. Because the agents work the screen rather than an API, they can run on legacy systems other AI tools can't touch, which covers much of what is actually installed in hotels today. That choice trades integration elegance for coverage, and coverage is what the market is.

Why we backed the founders and team

Computer-use agents that complete tasks reliably in messy, decades-old software are a hard AI problem, and hospitality is a sharp place to solve it. Labor is thin and phones still carry the load, while the software stack punishes anything that requires a custom integration. A chatbot that drafts a ticket doesn't change a hotel's operating math. An agent that owns the outcome is the version of this that does.

The work from here is reliability per task and edge cases at 2 a.m., one property going live at a time. Very little of it will look like an announcement. Lance is built for that middle, and the team is doing the unglamorous part on purpose. That is why we backed them.