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Draft:Place2Place

From Wikipedia, the free encyclopedia

www.Place2Place.ai is an AI-powered travel search engine and booking aggregator founded in 2025, headquartered in Louisville, Kentucky. The platform helps users find the most cost-effective door-to-door itineraries by combining data on commercial flights and rideshare services.[1][2]

History

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Place2Place.ai emerged from a concept by Brown University ’25 alumnae Daniel Greenberg and Jason Silva, along with RISD '25 Alum Nina Chang, who in early 2025 automated the napkin-math Daniel used to find cheaper flights and rideshares for his trip to the Kentucky Derby. After prototyping with fellow alumni & Vignesh Peddi, the web platform officially launched in June 2025.[3]

Services

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Place2Place.ai’s search engine queries over one million combinations of flights, and rides, then factors in last-mile rideshare prices (e.g., Uber, Lyft) to display a door-to-door cost comparison. It supports one-way and round-trip itineraries, with optional filters for travel time, number of stops, and transport mode.[1]

Technology

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The platform uses proprietary machine-learning algorithms to normalize disparate scheduling and pricing APIs, optimize multi-modal routing, and update real-time availability. Results are presented in a unified interface showing total travel time, cost breakdown, and carbon-emission estimates where available.[2]

Business model

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Place2Place.ai is privately held and operates on a subscription basis, earning a fee from users who pay to use the premium filters. The core service remains free to end users.

See also

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References

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  1. ^ a b "Place2Place.ai". Retrieved 2025-06-24.
  2. ^ a b "Place2Place.ai – LinkedIn". Retrieved 2025-06-24.
  3. ^ Greenberg, Daniel. "Just helped launch something I'm going to write about for a bit: Place2Place.ai". Retrieved 2025-06-24.
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