Company Overview
Snapshot
Founded in February 2016 by Asaf Toker and Yosi Golan, SeeVoov operated with 1–10 employees. The company raised $350,000 across three funding rounds. In May 2019, SeeVoov won the ITB China Tourism Innovation Startup Awards, highlighting its innovative approach in the travel technology sector.
Business overview
SeeVoov developed an interactive, video-based trip planner designed to enhance the travel planning experience. Its core technology utilized an intelligent machine learning system, currently under patent registration, that automatically tags videos using image recognition algorithms. This allowed users to watch videos of destinations, identify points of interest, and add them to a personalized trip plan. The system then optimized the route and facilitated bookings for flights, hotels, and other reservations. SeeVoov operated in the travel and tourism markets, primarily within the Software Applications sector, leveraging artificial intelligence, machine learning, and image recognition technologies.
Strategic signal
In May 2019, SeeVoov was recognized with the ITB China Tourism Innovation Startup Award. This award validated the company's innovative video-based trip planning technology and its potential to disrupt traditional travel planning methods, signaling strong market recognition and strategic relevance within the travel tech industry.
Company Intelligence Q&A
- What is SeeVoov's primary offering?
- SeeVoov developed an interactive, video-based trip planner that allows users to discover points of interest through videos, create personalized itineraries, and book travel services.
- When was SeeVoov founded and by whom?
- SeeVoov was founded in February 2016 by Asaf Toker and Yosi Golan.
- What is the status of SeeVoov?
- SeeVoov is currently non-active and ceased to operate in September 2021.
- What recognition did SeeVoov receive in 2019?
- In May 2019, SeeVoov won the ITB China Tourism Innovation Startup Awards.
- What technology underpins SeeVoov's platform?
- SeeVoov's technology is based on an intelligent machine learning system that automatically tags videos using image recognition algorithms, which is currently under patent registration.