
Tripian
Tripian | AI Powered Travel Ecosystem.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor | €0.0 | round |
investor | €0.0 | round | |
N/A | Late VC | ||
Total Funding | 000k |
USD | 2021 | 2022 |
---|---|---|
Revenues | 0000 | 0000 |
EBITDA | 0000 | 0000 |
Profit | 0000 | 0000 |
EV | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x |
R&D budget | 0000 | 0000 |
Source: Dealroom estimates
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Tripian operates as a B2B travel technology company, leveraging artificial intelligence to enhance in-destination experiences for clients of other travel brands. Founded in 2014 by Cenan Yunusoglu and Jeff Kischuk, and headquartered in Toronto, Canada, the company initially launched as a consumer-facing app in 2016. By mid-2018, Tripian pivoted to a business-to-business SaaS model, targeting the broader travel industry. Jeff Kischuk, the current CEO, steers the company's focus on providing hyper-personalized travel planning services.
The firm's business model is centered on providing its AI-powered platform to airlines, hotels, loyalty programs, tour operators, and other travel companies as a white-label solution or via API integration. This enables partners to offer their customers personalized, bookable itineraries filled with ancillary services and local experiences, thereby creating new revenue streams. Tripian makes money by enabling its partners to earn commissions on these third-party bookings, capturing a share of the traveler's in-destination spending.
Tripian's core product is a platform that uses what it calls "Nested Artificial Intelligence™" to analyze traveler preferences and generate dynamic itineraries. This technology pulls from an extensive database of over 4 million points of interest across more than 550 destinations to provide recommendations for tours, attractions, dining, and transportation. A key feature is the ability to account for variables like walking pace, fatigue, and even the age of children traveling, to create a well-orchestrated plan. The platform also includes an "instant algo" feature for spontaneous plan changes, allowing users to receive new recommendations on the fly. This service aims to bridge the gap between major travel bookings and the in-destination experience market for its business clients.
Keywords: B2B travel tech, ancillary revenue, itinerary planning, AI travel assistant, in-destination experiences, travel personalization, white-label travel platform, travel API, Nested Artificial Intelligence, tour operators, guest experience technology, travel loyalty, dynamic itineraries, POI database, travel data enrichment, hyper-personalization, customer experience travel, travel software, destination management, airline ancillary