Raveable (www.raveable.com), the fastest and easiest way to find the best hotel, unveiled its website in beta today.

A refreshing new way to find the perfect hotel

Today, frustrated travelers spend hours searching multiple sites, sifting through countless reviews in hopes of finding the perfect hotel for their vacation. A couple planning a romantic 5-star weekend in Las Vegas must make sense of over 650 reviews across dozens of sites. With such an overwhelming amount of information, it is no surprise that 51% of online travelers are unhappy with travel planning and over 24% of travelers prefer to conduct travel research offline.*

Raveable uncovers the truth more effectively than reading individual hotel reviews while surfacing relevant information more efficiently than searching countless websites. The website is the first to automatically categorize and recommend hotels based on the summarized collective wisdom of millions of travelers. The site provides recommendations for over 33 thousand U.S. hotels, resorts and bed and breakfasts.

An innovative approach to travel planning

Using patent-pending technology, Raveable surfaces opinions buried inside of reviews. Opinions are categorized based on the traits that travelers rant and rave about the most. At a glance, a user can see that a hotel has an unfriendly and unhelpful concierge, but a good location, and spacious room with comfortable beds.

“For most properties, there is a consistent story being told across the reviews. Prior to Raveable, the individual pieces of the story were so intertwined and scattered that it took several minutes, even hours, to gain the level of insight we present in seconds,” said Philip Vaughn co-founder and CEO.

It is worth pointing out that Raveable does not filter or allow travelers to write reviews. “We are a search engine in that we rank and evaluate hotels based on underlying content while providing a direct link back to the source material,” Philip Vaughn said.

The technology behind Raveable is based on a branch of artificial intelligence known as natural language processing (NLP). “We knew there was a big opportunity to improve the travel experience for millions of travelers by focusing on the structure and organization of the data,” said Rafik Robeal co-founder and CTO. “We started Raveable with a simple but powerful idea – write software that can create accurate recommendations reflective of the millions of opinions available on the internet,” Rafik added.

Raveable generates revenue when a user books a room at one of its travel partners. The site launched in beta with analysis and recommendations for over 33 thousand U.S. hotels, resorts and bed and breakfasts.

*Source: Forrester Research, "North American Technographics Travel Online Survey, Q1 2008" as cited in "Successfully Navigating Uncharted Waters."