Pricing should optimize, not react.
Quibble is a revenue management platform for short-term rental operators. It sets each night’s price where expected revenue (price × booking probability) is highest, instead of adjusting a base price. Founded in August 2020.
Empower vacation-rental owners with AI that predicts consumer behavior — so every listing is priced for what the market will truly pay.
Why we exist
The big three pricing tools move your rate with the broad market. That’s fine until a two-bedroom beachfront is dragged around by studios five miles inland.
We started Quibble to fix that: choose comps the way a guest would compare them (nearby, same bedrooms, similar rate), then layer in the signals (vision, sentiment, events, forecasting) that change what a night is worth. The result is a model that sets each night’s price from the probability it books, instead of nudging an arbitrary base price.
What we believe
Four principles behind every pricing decision the model makes.
Optimize, don’t react
Dynamic pricing reacts to demand. We solve for the rate the market will actually pay — every night, every listing.
AI-forward
Vision, sentiment, and forecasting aren’t bolt-ons. They’re signals our model uses to price with conviction.
Operator-first
Built with and for short-term rental operators — the people living in last-minute bookings and shifting demand.
Aligned incentives
A flat per-listing subscription, never a commission on your revenue. We win when you price better, not when you earn more.
Meet the founders
Revenue management science, built for short-term rentals.
A former airline lead revenue manager who brought discrete-choice revenue management to short-term rentals, with the conviction that a rate should be optimized, not just moved.
Leads Quibble’s engineering and modeling — the optimization engine, AI Vision, and forecasting that price every listing, every night.
