SeeVoov
Interactive, Video-based Trip Planner
Company Overview
Snapshot
Founded in February 2016 by Asaf Toker and Yosi Golan, SeeVoov operates with 1–10 employees. The company has raised $350K across three funding rounds. In May 2019, SeeVoov won the ITB China 2019 Tourism Innovation Startup Awards, highlighting its innovative approach in the travel technology sector.
Business overview
SeeVoov develops an interactive video-based trip planner that allows users to watch tagged videos of destinations instead of reading traditional material. The platform enables users to select points of interest from these videos, which then generates an optimized trip plan. The system also facilitates booking flights, hotels, and other reservations. SeeVoov's core technology relies on an intelligent machine learning system, currently under patent registration, that utilizes image recognition algorithms to automatically tag videos. The company operates in the travel and tourism markets, serving both B2B2C and B2C business models globally, with a focus on India.
Strategic signal
In May 2019, SeeVoov was recognized with the ITB China 2019 Tourism Innovation Startup Award. This award signals market validation for SeeVoov's video-based trip planning technology and its potential to disrupt traditional travel planning methods by offering a more immersive and interactive user experience. For investors, this indicates the company's capability to gain traction and recognition in competitive international markets.
Log in to access full profile ›Company Intelligence Q&A
- When was SeeVoov founded and by whom?
- SeeVoov was founded in February 2016 by Asaf Toker and Yosi Golan.
- What recognition did SeeVoov receive in 2019?
- In May 2019, SeeVoov won the ITB China 2019 Tourism Innovation Startup Awards, acknowledging its innovative contributions to the travel technology sector.
- What is the total capital raised by SeeVoov?
- SeeVoov has raised a total of $350K across three funding rounds.
- What technology underpins SeeVoov's platform?
- SeeVoov's technology is based on an intelligent machine learning system that uses image recognition algorithms to automatically tag videos, which is currently under patent registration.