OLSET provides a platform that enables business travelers to search for accommodations and matches them to the three highest-ranked hotels for each user based on multiple factors. The system personalizes rankings using each customer’s travel history and social signals, and the machine-learning algorithms improve as it collects more data. OLSET scrapes travel ratings and recommendation sites to categorize listings and extracts sentiment data that goes beyond basic amenities (for example, pool size and whether it’s worth using). Since launch it has processed more than 10 million categorized reviews and 40 million sentiments and expects to reach 100 million reviews and 500 million sentiments by year-end. The company exposes an API to power bookings with online travel agencies and to build customer profiles for third parties. It has a partnership with calendaring app Any.do and is testing “omni booking” features (including booking@olset.com) with plans to extend to Twitter, chat, text and other media. Headcount has grown to seven as OLSET adds developers and a marketing director to expand partnerships and end-customer reach.

Total raised

$1M

Funding rounds

1

Latest round

Seed

Latest activity

May 2014